| Year |
Citation |
Score |
| 2023 |
Huang F, Fu M, Li J, Chen L, Feng K, Huang T, Cai YD. Analysis and prediction of protein stability based on interaction network, gene ontology, and KEGG pathway enrichment scores. Biochimica Et Biophysica Acta. Proteins and Proteomics. 1871: 140889. PMID 36610583 DOI: 10.1016/j.bbapap.2023.140889 |
0.305 |
|
| 2022 |
Yang L, Zhang YH, Huang F, Li Z, Huang T, Cai YD. Identification of protein-protein interaction associated functions based on gene ontology and KEGG pathway. Frontiers in Genetics. 13: 1011659. PMID 36171880 DOI: 10.3389/fgene.2022.1011659 |
0.324 |
|
| 2022 |
Zhang YH, Ding S, Chen L, Huang T, Cai YD. Subcellular Localization Prediction of Human Proteins Using Multifeature Selection Methods. Biomed Research International. 2022: 3288527. PMID 36132086 DOI: 10.1155/2022/3288527 |
0.328 |
|
| 2022 |
Li H, Zhang S, Chen L, Pan X, Li Z, Huang T, Cai YD. Identifying Functions of Proteins in Mice With Functional Embedding Features. Frontiers in Genetics. 13: 909040. PMID 35651937 DOI: 10.3389/fgene.2022.909040 |
0.306 |
|
| 2021 |
Chen L, Li Z, Zeng T, Zhang YH, Zhang S, Huang T, Cai YD. Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features. Frontiers in Genetics. 12: 783128. PMID 34804131 DOI: 10.3389/fgene.2021.783128 |
0.319 |
|
| 2021 |
Chen L, Li Z, Zeng T, Zhang YH, Li H, Huang T, Cai YD. Predicting gene phenotype by multi-label multi-class model based on essential functional features. Molecular Genetics and Genomics : Mgg. PMID 33914130 DOI: 10.1007/s00438-021-01789-8 |
0.322 |
|
| 2020 |
Pan X, Zeng T, Zhang YH, Chen L, Feng K, Huang T, Cai YD. Investigation and Prediction of Human Interactome Based on Quantitative Features. Frontiers in Bioengineering and Biotechnology. 8: 730. PMID 32766217 DOI: 10.3389/Fbioe.2020.00730 |
0.412 |
|
| 2020 |
Zhang Y, Zeng T, Chen L, Ding S, Huang T, Cai YD. Identification of COVID-19 Infection-Related Human Genes Based on a Random Walk Model in a Virus-Human Protein Interaction Network. Biomed Research International. 2020: 4256301. PMID 32685484 DOI: 10.1155/2020/4256301 |
0.334 |
|
| 2020 |
Li M, Pan X, Zeng T, Zhang YH, Feng K, Chen L, Huang T, Cai YD. Alternative Polyadenylation Modification Patterns Reveal Essential Posttranscription Regulatory Mechanisms of Tumorigenesis in Multiple Tumor Types. Biomed Research International. 2020: 6384120. PMID 32626751 DOI: 10.1155/2020/6384120 |
0.383 |
|
| 2020 |
Pan X, Lu L, Cai YD. Predicting protein subcellular location with network embedding and enrichment features. Biochimica Et Biophysica Acta. Proteins and Proteomics. 140477. PMID 32593761 DOI: 10.1016/J.Bbapap.2020.140477 |
0.438 |
|
| 2020 |
Yuan F, Pan X, Zeng T, Zhang YH, Chen L, Gan Z, Huang T, Cai YD. Identifying Cell-Type Specific Genes and Expression Rules Based on Single-Cell Transcriptomic Atlas Data. Frontiers in Bioengineering and Biotechnology. 8: 350. PMID 32411685 DOI: 10.3389/Fbioe.2020.00350 |
0.323 |
|
| 2020 |
Chen L, Pan X, Guo W, Gan Z, Zhang YH, Niu Z, Huang T, Cai YD. Investigating the gene expression profiles of cells in seven embryonic stages with machine learning algorithms. Genomics. PMID 32045671 DOI: 10.1016/J.Ygeno.2020.02.004 |
0.348 |
|
| 2020 |
Zhang Y, Zeng T, Pan X, Guo W, Gan Z, Zhang Y, Huang T, Cai Y. Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study Ieee Access. 8: 489-501. DOI: 10.1109/Access.2019.2961402 |
0.316 |
|
| 2019 |
Chen L, Pan X, Zeng T, Zhang YH, Zhang Y, Huang T, Cai YD. Immunosignature Screening for Multiple Cancer Subtypes Based on Expression Rule. Frontiers in Bioengineering and Biotechnology. 7: 370. PMID 31850330 DOI: 10.3389/Fbioe.2019.00370 |
0.35 |
|
| 2019 |
Pan X, Zeng T, Yuan F, Zhang YH, Chen L, Zhu L, Wan S, Huang T, Cai YD. Screening of Methylation Signature and Gene Functions Associated With the Subtypes of Isocitrate Dehydrogenase-Mutation Gliomas. Frontiers in Bioengineering and Biotechnology. 7: 339. PMID 31803734 DOI: 10.3389/Fbioe.2019.00339 |
0.361 |
|
| 2019 |
Xu Y, Zhang YH, Li J, Pan X, Huang T, Cai YD. New computational tool based on machine-learning algorithms for the identification of rhinovirus infection-related genes. Combinatorial Chemistry & High Throughput Screening. PMID 31782358 DOI: 10.2174/1386207322666191129114741 |
0.304 |
|
| 2019 |
Chen L, Pan X, Zhang YH, Hu X, Feng K, Huang T, Cai YD. Primary Tumor Site Specificity is Preserved in Patient-Derived Tumor Xenograft Models. Frontiers in Genetics. 10: 738. PMID 31456818 DOI: 10.3389/Fgene.2019.00738 |
0.307 |
|
| 2019 |
Chen L, Zhang YH, Huang G, Pan X, Huang T, Cai YD. Inferring novel genes related to oral cancer with a network embedding method and one-class learning algorithms. Gene Therapy. PMID 31455874 DOI: 10.1038/S41434-019-0099-Y |
0.379 |
|
| 2019 |
Yuan F, Pan X, Chen L, Zhang YH, Huang T, Cai YD. Analysis of Protein-Protein Functional Associations by Using Gene Ontology and KEGG Pathway. Biomed Research International. 2019: 4963289. PMID 31396531 DOI: 10.1155/2019/4963289 |
0.376 |
|
| 2019 |
Li J, Lu L, Zhang YH, Xu Y, Liu M, Feng K, Chen L, Kong X, Huang T, Cai YD. Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine. Cancer Gene Therapy. PMID 31138902 DOI: 10.1038/S41417-019-0105-Y |
0.373 |
|
| 2019 |
Pan X, Chen L, Feng KY, Hu XH, Zhang YH, Kong XY, Huang T, Cai YD. Analysis of Expression Pattern of snoRNAs in Different Cancer Types with Machine Learning Algorithms. International Journal of Molecular Sciences. 20. PMID 31052553 DOI: 10.3390/Ijms20092185 |
0.361 |
|
| 2019 |
Chen L, Pan X, Zhang YH, Liu M, Huang T, Cai YD. Classification of Widely and Rarely Expressed Genes with Recurrent Neural Network. Computational and Structural Biotechnology Journal. 17: 49-60. PMID 30595815 DOI: 10.1016/J.Csbj.2018.12.002 |
0.344 |
|
| 2019 |
Chen L, Pan X, Zeng T, Zhang Y, Huang T, Cai Y. Identifying Essential Signature Genes and Expression Rules Associated With Distinctive Development Stages of Early Embryonic Cells Ieee Access. 7: 128570-128578. DOI: 10.1109/Access.2019.2939556 |
0.348 |
|
| 2018 |
Wang S, Li J, Sun X, Zhang YH, Huang T, Cai Y. Computational method for identifying malonylation sites by using random forest algorithm. Combinatorial Chemistry & High Throughput Screening. PMID 30588879 DOI: 10.2174/1386207322666181227144318 |
0.366 |
|
| 2018 |
Chen L, Pan X, Zhang YH, Kong X, Huang T, Cai YD. Tissue differences revealed by gene expression profiles of various cell lines. Journal of Cellular Biochemistry. PMID 30368905 DOI: 10.1002/Jcb.27977 |
0.308 |
|
| 2018 |
Cai YD, Zhang S, Zhang YH, Pan X, Feng K, Chen L, Huang T, Kong X. Identification of the Gene Expression Rules That Define the Subtypes in Glioma. Journal of Clinical Medicine. 7. PMID 30322114 DOI: 10.3390/Jcm7100350 |
0.364 |
|
| 2018 |
Li J, Chen L, Zhang YH, Kong X, Huang T, Cai YD. A Computational Method for Classifying Different Human Tissues with Quantitatively Tissue-Specific Expressed Genes. Genes. 9. PMID 30205473 DOI: 10.3390/Genes9090449 |
0.302 |
|
| 2018 |
Li J, Lu L, Zhang YH, Liu M, Chen L, Huang T, Cai YD. Identification of synthetic lethality based on a functional network by using machine learning algorithms. Journal of Cellular Biochemistry. PMID 30125975 DOI: 10.1002/Jcb.27395 |
0.44 |
|
| 2018 |
Chen L, Zhang YH, Zhang Z, Huang T, Cai YD. Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms. Molecular Therapy. Methods & Clinical Development. 10: 57-67. PMID 30069494 DOI: 10.1016/J.Omtm.2018.06.007 |
0.357 |
|
| 2018 |
Chen L, Wang S, Zhang YH, Wei L, Xu X, Huang T, Cai YD. Prediction of nitrated tyrosine residues in protein sequences by extreme learning machine and feature selection methods. Combinatorial Chemistry & High Throughput Screening. PMID 29848272 DOI: 10.2174/1386207321666180531091619 |
0.371 |
|
| 2018 |
Wang D, Li JR, Zhang YH, Chen L, Huang T, Cai YD. Identification of Differentially Expressed Genes between Original Breast Cancer and Xenograft Using Machine Learning Algorithms. Genes. 9. PMID 29534550 DOI: 10.3390/Genes9030155 |
0.345 |
|
| 2017 |
Wang S, Cai Y. Identification of the functional alteration signatures across different cancer types with support vector machine and feature analysis. Biochimica Et Biophysica Acta. PMID 29277326 DOI: 10.1016/J.Bbadis.2017.12.026 |
0.347 |
|
| 2017 |
Wang S, Li J, Yuan F, Huang T, Cai YD. Computational method for distinguishing lysine acetylation, sumoylation, and ubiquitination using the random forest algorithm with a feature selection procedure. Combinatorial Chemistry & High Throughput Screening. PMID 29256343 DOI: 10.2174/1386207321666171218114056 |
0.343 |
|
| 2017 |
Zhang YH, Huang T, Chen L, Xu Y, Hu Y, Hu LD, Cai Y, Kong X. Identifying and analyzing different cancer subtypes using RNA-seq data of blood platelets. Oncotarget. 8: 87494-87511. PMID 29152097 DOI: 10.18632/Oncotarget.20903 |
0.349 |
|
| 2017 |
Chen L, Li J, Zhang YH, Feng K, Wang S, Zhang Y, Huang T, Kong X, Cai YD. Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method. Journal of Cellular Biochemistry. PMID 29130544 DOI: 10.1002/Jcb.26507 |
0.328 |
|
| 2017 |
Chen L, Pan H, Zhang YH, Feng K, Kong X, Huang T, Cai YD. Network-Based Method for Identifying Co- Regeneration Genes in Bone, Dentin, Nerve and Vessel Tissues. Genes. 8. PMID 28974058 DOI: 10.3390/Genes8100252 |
0.306 |
|
| 2017 |
Li J, Chen L, Wang S, Zhang Y, Kong X, Huang T, Cai YD. A computational method using the random walk with restart algorithm for identifying novel epigenetic factors. Molecular Genetics and Genomics : Mgg. PMID 28932904 DOI: 10.1007/S00438-017-1374-5 |
0.342 |
|
| 2017 |
Chen L, Zhang YH, Huang G, Pan X, Wang S, Huang T, Cai YD. Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection. Molecular Genetics and Genomics : Mgg. PMID 28913654 DOI: 10.1007/S00438-017-1372-7 |
0.33 |
|
| 2017 |
Chen L, Zhang YH, Wang S, Zhang Y, Huang T, Cai YD. Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways. Plos One. 12: e0184129. PMID 28873455 DOI: 10.1371/Journal.Pone.0184129 |
0.358 |
|
| 2017 |
Chen L, Lu J, Huang T, Cai YD. A computational method for the identification of candidate drugs for non-small cell lung cancer. Plos One. 12: e0183411. PMID 28820893 DOI: 10.1371/Journal.Pone.0183411 |
0.314 |
|
| 2017 |
Chen L, Yang J, Xing Z, Yuan F, Shu Y, Zhang Y, Kong X, Huang T, Li H, Cai YD. An integrated method for the identification of novel genes related to oral cancer. Plos One. 12: e0175185. PMID 28384236 DOI: 10.1371/Journal.Pone.0175185 |
0.353 |
|
| 2017 |
Wang S, Zhang YH, Zhang N, Chen L, Huang T, Cai YD. Recognizing and predicting thioether bridges formed by lanthionine and β-methyllanthionine in lantibiotics using a random forest approach with feature selection. Combinatorial Chemistry & High Throughput Screening. PMID 28294058 DOI: 10.2174/1386207320666170310115754 |
0.399 |
|
| 2017 |
Yuan F, Zhang YH, Kong XY, Cai YD. Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach. Biomed Research International. 2017: 5741948. PMID 28293637 DOI: 10.1155/2017/5741948 |
0.335 |
|
| 2017 |
Gao J, Tao XW, Zhao J, Feng YM, Cai YD, Zhang N. Computational prediction of protein epsilon lysine acetylation sites based on a feature selection method. Combinatorial Chemistry & High Throughput Screening. PMID 28292250 DOI: 10.2174/1386207320666170314093216 |
0.395 |
|
| 2017 |
Cai YD, Zhang Q, Zhang YH, Chen L, Huang T. Identification of genes associated with breast cancer metastasis to bone on a protein-protein interaction network with a shortest path algorithm. Journal of Proteome Research. PMID 28076954 DOI: 10.1021/Acs.Jproteome.6B00950 |
0.361 |
|
| 2017 |
Sun X, Li J, Gu L, Wang S, Zhang Y, Huang T, Cai Y. Identifying the Characteristics of the Hypusination Sites Using SMOTE and SVM Algorithm with Feature Selection Current Proteomics. 15: 111-118. DOI: 10.2174/1570164614666171109120615 |
0.307 |
|
| 2017 |
Chen L, Wang S, Zhang Y, Li J, Xing Z, Yang J, Huang T, Cai Y. Identify Key Sequence Features to Improve CRISPR sgRNA Efficacy Ieee Access. 5: 26582-26590. DOI: 10.1109/Access.2017.2775703 |
0.377 |
|
| 2016 |
Zhang Q, Sun X, Feng K, Wang S, Zhang YH, Wang S, Lu L, Cai YD. Predicting citrullination sites in protein sequences using mRMR method and random forest algorithm. Combinatorial Chemistry & High Throughput Screening. PMID 28029071 DOI: 10.2174/1386207319666161227124350 |
0.427 |
|
| 2016 |
Wang S, Zhang YH, Huang G, Chen L, Cai YD. Analysis and prediction of myristoylation sites using the mRMR method, the IFS method and an extreme learning machine algorithm. Combinatorial Chemistry & High Throughput Screening. PMID 28000567 DOI: 10.2174/1386207319666161220114424 |
0.422 |
|
| 2016 |
Yin H, Wang S, Zhang YH, Cai YD, Liu H. Analysis of Important Gene Ontology Terms and Biological Pathways Related to Pancreatic Cancer. Biomed Research International. 2016: 7861274. PMID 27957501 DOI: 10.1155/2016/7861274 |
0.334 |
|
| 2016 |
Huang G, Chu C, Huang T, Kong X, Zhang Y, Zhang N, Cai YD. Exploring Mouse Protein Function via Multiple Approaches. Plos One. 11: e0166580. PMID 27846315 DOI: 10.1371/Journal.Pone.0166580 |
0.409 |
|
| 2016 |
Chen L, Wang B, Wang S, Yang J, Hu J, Xie Z, Wang Y, Huang T, Cai YD, Xie Z. OPMSP: A computational method integrating protein interaction and sequence information for the identification of novel putative oncogenes. Protein and Peptide Letters. PMID 27774893 DOI: 10.2174/0929866523666161021165506 |
0.433 |
|
| 2016 |
Chen L, Zhang YH, Zheng M, Huang T, Cai YD. Identification of compound-protein interactions through the analysis of gene ontology, KEGG enrichment for proteins and molecular fragments of compounds. Molecular Genetics and Genomics : Mgg. PMID 27530612 DOI: 10.1007/S00438-016-1240-X |
0.379 |
|
| 2016 |
Chen L, Chu C, Zhang YH, Zhu C, Kong X, Huang T, Cai YD. Analysis of Gene Expression Profiles in the Human Brain Stem, Cerebellum and Cerebral Cortex. Plos One. 11: e0159395. PMID 27434030 DOI: 10.1371/Journal.Pone.0159395 |
0.31 |
|
| 2016 |
Zhu L, Zhang YH, Su F, Chen L, Huang T, Cai YD. A Shortest-Path-Based Method for the Analysis and Prediction of Fruit-Related Genes in Arabidopsis thaliana. Plos One. 11: e0159519. PMID 27434024 DOI: 10.1371/Journal.Pone.0159519 |
0.373 |
|
| 2016 |
Chen L, Huang T, Zhang YH, Jiang Y, Zheng M, Cai YD. Identification of novel candidate drivers connecting different dysfunctional levels for lung adenocarcinoma using protein-protein interactions and a shortest path approach. Scientific Reports. 6: 29849. PMID 27412431 DOI: 10.1038/Srep29849 |
0.355 |
|
| 2016 |
Chen L, Zhang YH, Huang T, Cai YD. Gene expression profiling gut microbiota in different races of humans. Scientific Reports. 6: 23075. PMID 26975620 DOI: 10.1038/Srep23075 |
0.338 |
|
| 2016 |
Wang S, Zhang YH, Lu J, Cui W, Hu J, Cai YD. Analysis and Identification of Aptamer-Compound Interactions with a Maximum Relevance Minimum Redundancy and Nearest Neighbor Algorithm. Biomed Research International. 2016: 8351204. PMID 26955638 DOI: 10.1155/2016/8351204 |
0.305 |
|
| 2016 |
Liu L, Chen L, Zhang YH, Wei L, Cheng S, Kong X, Zheng M, Huang T, Cai YD. Analysis and prediction of drug-drug interaction by minimum redundancy maximum relevance and incremental feature selection. Journal of Biomolecular Structure & Dynamics. 1-452. PMID 26750516 DOI: 10.1080/07391102.2016.1138142 |
0.339 |
|
| 2016 |
Chen L, Zhang YH, Huang T, Cai YD. Identifying novel protein phenotype annotations by hybridizing protein-protein interactions and protein sequence similarities. Molecular Genetics and Genomics : Mgg. PMID 26728152 DOI: 10.1007/S00438-015-1157-9 |
0.416 |
|
| 2016 |
Li B, Zhang Y, Jin M, Huang T, Cai Y. Prediction of protein-peptide interaction with nearest neighbor algorithm Current Bioinformatics. 11: 1-1. DOI: 10.2174/1574893611666160711162006 |
0.321 |
|
| 2016 |
Wang SP, Zhang Q, Lu J, Cai Y. Analysis and Prediction of Nitrated Tyrosine Sites with the mRMR Method and Support Vector Machine Algorithm Current Bioinformatics. 13: 3-13. DOI: 10.2174/1574893611666160608075753 |
0.329 |
|
| 2016 |
Zhou Y, Huang T, Huang G, Zhang N, Kong X, Cai Y. Prediction of protein N-formylation and comparison with N-acetylation based on a feature selection method Neurocomputing. 217: 53-62. DOI: 10.1016/J.Neucom.2015.10.148 |
0.382 |
|
| 2015 |
Wang B, Yuan F, Kong X, Hu LD, Cai YD. Identifying Novel Candidate Genes Related to Apoptosis from a Protein-Protein Interaction Network. Computational and Mathematical Methods in Medicine. 2015: 715639. PMID 26543496 DOI: 10.1155/2015/715639 |
0.349 |
|
| 2015 |
Huang T, Wang M, Cai YD. Analysis of the preferences for splice codes across tissues. Protein & Cell. PMID 26507841 DOI: 10.1007/S13238-015-0226-5 |
0.315 |
|
| 2015 |
Yuan F, Zhou Y, Wang M, Yang J, Wu K, Lu C, Kong X, Cai YD. Identifying New Candidate Genes and Chemicals Related to Prostate Cancer Using a Hybrid Network and Shortest Path Approach. Computational and Mathematical Methods in Medicine. 2015: 462363. PMID 26504486 DOI: 10.1155/2015/462363 |
0.306 |
|
| 2015 |
Chen L, Yang J, Huang T, Kong X, Lu L, Cai YD. Mining for novel tumor suppressor genes using a shortest path approach. Journal of Biomolecular Structure & Dynamics. 1-96. PMID 26209080 DOI: 10.1080/07391102.2015.1042915 |
0.365 |
|
| 2015 |
Gao YF, Yuan F, Liu J, Li LP, He YC, Gao RJ, Cai YD, Jiang Y. Identification of New Candidate Genes and Chemicals Related to Esophageal Cancer Using a Hybrid Interaction Network of Chemicals and Proteins. Plos One. 10: e0129474. PMID 26058041 DOI: 10.1371/Journal.Pone.0129474 |
0.373 |
|
| 2015 |
Cai Y, Huang T, Chen L, Niu B. Application of systems biology and bioinformatics methods in biochemistry and biomedicine 2014. Biomed Research International. 2015: 568607. PMID 25961026 DOI: 10.1155/2015/568607 |
0.38 |
|
| 2015 |
Chen L, Chu C, Lu J, Kong X, Huang T, Cai YD. Gene Ontology and KEGG Pathway Enrichment Analysis of a Drug Target-Based Classification System. Plos One. 10: e0126492. PMID 25951454 DOI: 10.1371/Journal.Pone.0126492 |
0.357 |
|
| 2015 |
Chen L, Chu C, Huang T, Kong X, Cai YD. Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models. Amino Acids. 47: 1485-93. PMID 25894890 DOI: 10.1007/S00726-015-1974-5 |
0.307 |
|
| 2015 |
Zhang PW, Chen L, Huang T, Zhang N, Kong XY, Cai YD. Classifying ten types of major cancers based on reverse phase protein array profiles. Plos One. 10: e0123147. PMID 25822500 DOI: 10.1371/Journal.Pone.0123147 |
0.397 |
|
| 2015 |
Huang G, Lu Y, Lu C, Zheng M, Cai YD. Prediction of drug indications based on chemical interactions and chemical similarities. Biomed Research International. 2015: 584546. PMID 25821813 DOI: 10.1155/2015/584546 |
0.303 |
|
| 2015 |
Chen L, Chu C, Kong X, Huang G, Huang T, Cai YD. A hybrid computational method for the discovery of novel reproduction-related genes. Plos One. 10: e0117090. PMID 25768094 DOI: 10.1371/Journal.Pone.0117090 |
0.381 |
|
| 2015 |
Chen L, Chu C, Kong X, Huang T, Cai YD. Discovery of new candidate genes related to brain development using protein interaction information. Plos One. 10: e0118003. PMID 25635857 DOI: 10.1371/Journal.Pone.0118003 |
0.338 |
|
| 2015 |
Zhou Y, Zhang N, Li BQ, Huang T, Cai YD, Kong XY. A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis. Journal of Biomolecular Structure & Dynamics. 1-12. PMID 25616595 DOI: 10.1080/07391102.2014.1001793 |
0.392 |
|
| 2015 |
Li B, Huang G, Huang T, Feng K, Liu L, Cai Y. Prediction of Colorectal Cancer Related Genes Based on Gene Ontology Current Bioinformatics. 10: 22-30. DOI: 10.2174/157489361001150309131058 |
0.333 |
|
| 2014 |
Shu Y, Zhang N, Kong X, Huang T, Cai YD. Predicting A-to-I RNA editing by feature selection and random forest. Plos One. 9: e110607. PMID 25338210 DOI: 10.1371/Journal.Pone.0110607 |
0.354 |
|
| 2014 |
Zhang N, Huang T, Cai YD. Discriminating between deleterious and neutral non-frameshifting indels based on protein interaction networks and hybrid properties Molecular Genetics and Genomics. 290: 343-352. PMID 25248637 DOI: 10.1007/S00438-014-0922-5 |
0.408 |
|
| 2014 |
Zhang N, Zhou Y, Huang T, Zhang YC, Li BQ, Chen L, Cai YD. Discriminating between lysine sumoylation and lysine acetylation using mRMR feature selection and analysis. Plos One. 9: e107464. PMID 25222670 DOI: 10.1371/Journal.Pone.0107464 |
0.42 |
|
| 2014 |
Yang J, Chen L, Kong X, Huang T, Cai YD. Analysis of tumor suppressor genes based on gene ontology and the KEGG pathway. Plos One. 9: e107202. PMID 25207935 DOI: 10.1371/Journal.Pone.0107202 |
0.377 |
|
| 2014 |
Huang G, Lu L, Feng K, Zhao J, Zhang Y, Xu Y, Zhang N, Li BQ, Huang W, Cai YD. Prediction of S-nitrosylation modification sites based on kernel sparse representation classification and mRMR algorithm. Biomed Research International. 2014: 438341. PMID 25184139 DOI: 10.1155/2014/438341 |
0.412 |
|
| 2014 |
Zhang J, Xing Z, Ma M, Wang N, Cai YD, Chen L, Xu X. Gene ontology and KEGG enrichment analyses of genes related to age-related macular degeneration. Biomed Research International. 2014: 450386. PMID 25165703 DOI: 10.1155/2014/450386 |
0.35 |
|
| 2014 |
Cai Y, Huang T, Chen L, Gao S, Zhang N. Novel computational methods and tools in biomedicine and biopharmacy. Computational and Mathematical Methods in Medicine. 2014: 127515. PMID 24995036 DOI: 10.1155/2014/127515 |
0.344 |
|
| 2014 |
Cai Y, González JV, Liu Z, Huang T. Computational systems biology methods in molecular biology, chemistry biology, molecular biomedicine, and biopharmacy. Biomed Research International. 2014: 746814. PMID 24812630 DOI: 10.1155/2014/746814 |
0.423 |
|
| 2014 |
Lu J, Huang G, Li HP, Feng KY, Chen L, Zheng MY, Cai YD. Prediction of cancer drugs by chemical-chemical interactions. Plos One. 9: e87791. PMID 24498372 DOI: 10.1371/Journal.Pone.0087791 |
0.345 |
|
| 2014 |
Chen L, Lu J, Zhang N, Huang T, Cai YD. A hybrid method for prediction and repositioning of drug Anatomical Therapeutic Chemical classes Molecular Biosystems. 10: 868-877. PMID 24492783 DOI: 10.1039/C3Mb70490D |
0.336 |
|
| 2014 |
Li BQ, Zhang YC, Huang GH, Cui WR, Zhang N, Cai YD. Prediction of aptamer-target interacting pairs with pseudo-amino acid composition. Plos One. 9: e86729. PMID 24466214 DOI: 10.1371/Journal.Pone.0086729 |
0.37 |
|
| 2014 |
Li BQ, Feng KY, Ding J, Cai YD. Predicting DNA-binding sites of proteins based on sequential and 3D structural information. Molecular Genetics and Genomics : Mgg. 289: 489-99. PMID 24448651 DOI: 10.1007/S00438-014-0812-X |
0.381 |
|
| 2013 |
Zhang J, Jiang M, Yuan F, Feng KY, Cai YD, Xu X, Chen L. Identification of age-related macular degeneration related genes by applying shortest path algorithm in protein-protein interaction network. Biomed Research International. 2013: 523415. PMID 24455700 DOI: 10.1155/2013/523415 |
0.354 |
|
| 2013 |
Zhang T, Jiang M, Chen L, Niu B, Cai Y. Prediction of gene phenotypes based on GO and KEGG pathway enrichment scores. Biomed Research International. 2013: 870795. PMID 24312912 DOI: 10.1155/2013/870795 |
0.419 |
|
| 2013 |
Chen L, Li BQ, Zheng MY, Zhang J, Feng KY, Cai YD. Prediction of effective drug combinations by chemical interaction, protein interaction and target enrichment of KEGG pathways. Biomed Research International. 2013: 723780. PMID 24083237 DOI: 10.1155/2013/723780 |
0.348 |
|
| 2013 |
Chen L, Huang T, Zhang J, Zheng MY, Feng KY, Cai YD, Chou KC. Predicting drugs side effects based on chemical-chemical interactions and protein-chemical interactions Biomed Research International. 2013. PMID 24078917 DOI: 10.1155/2013/485034 |
0.342 |
|
| 2013 |
Huang G, Zhou Y, Zhang Y, Li B, Zhang N, Cai Y. Prediction of carbamylated lysine sites based on the one-class k-nearest neighbor method. Molecular Biosystems. 9: 2729-2740. PMID 24056952 DOI: 10.1039/C3Mb70195F |
0.378 |
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| 2013 |
Jiang M, Chen Y, Zhang Y, Chen L, Zhang N, Huang T, Cai YD, Kong X. Identification of hepatocellular carcinoma related genes with k-th shortest paths in a protein-protein interaction network Molecular Biosystems. 9: 2720-2728. PMID 24056857 DOI: 10.1039/C3Mb70089E |
0.305 |
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| 2013 |
Huang T, Cai YD. An Information-Theoretic Machine Learning Approach to Expression QTL Analysis Plos One. 8. PMID 23825689 DOI: 10.1371/Journal.Pone.0067899 |
0.326 |
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| 2013 |
Jiang Y, Li BQ, Zhang Y, Feng YM, Gao YF, Zhang N, Cai YD. Prediction and Analysis of Post-Translational Pyruvoyl Residue Modification Sites from Internal Serines in Proteins. Plos One. 8: e66678. PMID 23805260 DOI: 10.1371/Journal.Pone.0066678 |
0.446 |
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| 2013 |
Cui W, Niu S, Zheng L, Hu L, Huang T, Gu L, Feng K, Zhang N, Cai Y, Li Y. Prediction of protein amidation sites by feature selection and analysis. Molecular Genetics and Genomics : Mgg. 288: 391-400. PMID 23793388 DOI: 10.1007/S00438-013-0760-X |
0.42 |
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| 2013 |
Li BQ, You J, Chen L, Zhang J, Zhang N, Li HP, Huang T, Kong XY, Cai YD. Identification of lung-cancer-related genes with the shortest path approach in a protein-protein interaction network Biomed Research International. 2013. PMID 23762832 DOI: 10.1155/2013/267375 |
0.344 |
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| 2013 |
Li BQ, Niu B, Chen L, Wei ZJ, Huang T, Jiang M, Lu J, Zheng MY, Kong XY, Cai YD. Identifying Chemicals with Potential Therapy of HIV Based on Protein-Protein and Protein-Chemical Interaction Network Plos One. 8. PMID 23762317 DOI: 10.1371/Journal.Pone.0065207 |
0.309 |
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| 2013 |
Zhao TH, Jiang M, Huang T, Li BQ, Zhang N, Li HP, Cai YD. A novel method of predicting protein disordered regions based on sequence features. Biomed Research International. 2013: 414327. PMID 23710446 DOI: 10.1155/2013/414327 |
0.413 |
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| 2013 |
Jiang Y, Huang T, Chen L, Gao YF, Cai Y, Chou KC. Signal propagation in protein interaction network during colorectal cancer progression. Biomed Research International. 2013: 287019. PMID 23586028 DOI: 10.1155/2013/287019 |
0.3 |
|
| 2013 |
Cui W, Chen L, Huang T, Gao Q, Jiang M, Zhang N, Zheng L, Feng K, Cai Y, Wang H. Computationally identifying virulence factors based on KEGG pathways. Molecular Biosystems. 9: 1447-52. PMID 23519087 DOI: 10.1039/C3Mb70024K |
0.348 |
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| 2013 |
Chen L, Lu J, Zhang J, Feng KR, Zheng MY, Cai YD. Predicting chemical toxicity effects based on chemical-chemical interactions. Plos One. 8: e56517. PMID 23457578 DOI: 10.1371/Journal.Pone.0056517 |
0.321 |
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| 2013 |
Gao Y, Li B, Cai Y, Feng K, Li Z, Jiang Y. Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection Molecular Biosystems. 9: 61-69. PMID 23117653 DOI: 10.1039/C2Mb25327E |
0.375 |
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| 2013 |
Liu L, Lu WC, Cai YD, Feng KY, Peng C, Zhu Y. Prediction of protein-protein interactions based on feature selection and data balancing. Protein and Peptide Letters. 20: 336-45. PMID 22591478 DOI: 10.2174/0929866511320030012 |
0.433 |
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| 2013 |
Niu S, Huang T, Feng KY, He Z, Cui W, Gu L, Li H, Cai YD, Li Y. Inter- and intra-chain disulfide bond prediction based on optimal feature selection. Protein and Peptide Letters. 20: 324-35. PMID 22591475 DOI: 10.2174/0929866511320030011 |
0.348 |
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| 2013 |
Huang T, He ZS, Cui WR, Cai YD, Shi XH, Hu LL, Chou KC. A sequence-based approach for predicting protein disordered regions. Protein and Peptide Letters. 20: 243-8. PMID 22591473 DOI: 10.2174/0929866511320030002 |
0.417 |
|
| 2013 |
Chen L, Zeng W, Cai Y, Huang T. Prediction of Metabolic Pathway Using Graph Property, Chemical Functional Group and Chemical Structural Set Current Bioinformatics. 8: 200-207. DOI: 10.2174/1574893611308020008 |
0.349 |
|
| 2012 |
Gao YF, Chen L, Cai YD, Feng KY, Huang T, Jiang Y. Predicting Metabolic Pathways of Small Molecules and Enzymes Based on Interaction Information of Chemicals and Proteins Plos One. 7. PMID 23029334 DOI: 10.1371/Journal.Pone.0045944 |
0.324 |
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| 2012 |
Li B, Cai Y, Feng K, Zhao G. Prediction of Protein Cleavage Site with Feature Selection by Random Forest Plos One. 7. PMID 23029276 DOI: 10.1371/Journal.Pone.0045854 |
0.43 |
|
| 2012 |
Li BQ, Feng KY, Chen L, Huang T, Cai YD. Prediction of protein-protein interaction sites by random forest algorithm with mRMR and IFS. Plos One. 7: e43927. PMID 22937126 DOI: 10.1371/Journal.Pone.0043927 |
0.432 |
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| 2012 |
Zhang N, Li BQ, Gao S, Ruan JS, Cai YD. Computational prediction and analysis of protein γ-carboxylation sites based on a random forest method. Molecular Biosystems. 8: 2946-55. PMID 22918520 DOI: 10.1039/C2Mb25185J |
0.42 |
|
| 2012 |
Zheng LL, Li YX, Ding J, Guo XK, Feng KY, Wang YJ, Hu LL, Cai YD, Hao P, Chou KC. A comparison of computational methods for identifying virulence factors. Plos One. 7: e42517. PMID 22880014 DOI: 10.1371/Journal.Pone.0042517 |
0.379 |
|
| 2012 |
Hu L, Cui W, He Z, Shi X, Feng K, Ma B, Cai YD. Cooperativity among short amyloid stretches in long amyloidogenic sequences. Plos One. 7: e39369. PMID 22761773 DOI: 10.1371/Journal.Pone.0039369 |
0.328 |
|
| 2012 |
Li BQ, Hu LL, Chen L, Feng KY, Cai YD, Chou KC. Prediction of protein domain with mRMR feature selection and analysis. Plos One. 7: e39308. PMID 22720092 DOI: 10.1371/Journal.Pone.0039308 |
0.426 |
|
| 2012 |
Li BQ, Zhang J, Huang T, Zhang L, Cai YD. Identification of retinoblastoma related genes with shortest path in a protein-protein interaction network. Biochimie. 94: 1910-7. PMID 22627383 DOI: 10.1016/J.Biochi.2012.05.005 |
0.345 |
|
| 2012 |
Niu S, Hu LL, Zheng LL, Huang T, Feng KY, Cai YD, Li HP, Li YX, Chou KC. Predicting protein oxidation sites with feature selection and analysis approach. Journal of Biomolecular Structure & Dynamics. 29: 650-8. PMID 22545996 DOI: 10.1080/07391102.2011.672629 |
0.382 |
|
| 2012 |
Hu LL, Feng KY, Cai YD, Chou KC. Using protein-protein interaction network information to predict the subcellular locations of proteins in budding yeast. Protein and Peptide Letters. 19: 644-51. PMID 22519536 DOI: 10.2174/092986612800494066 |
0.399 |
|
| 2012 |
Chen L, Zeng WM, Cai YD, Feng KY, Chou KC. Predicting Anatomical Therapeutic Chemical (ATC) classification of drugs by integrating chemical-chemical interactions and similarities. Plos One. 7: e35254. PMID 22514724 DOI: 10.1371/Journal.Pone.0035254 |
0.31 |
|
| 2012 |
Li BQ, Huang T, Liu L, Cai YD, Chou KC. Identification of colorectal cancer related genes with mrmr and shortest path in protein-protein interaction network Plos One. 7. PMID 22496748 DOI: 10.1371/Journal.Pone.0033393 |
0.377 |
|
| 2012 |
Huang T, Zhang J, Xu ZP, Hu LL, Chen L, Shao JL, Zhang L, Kong XY, Cai YD, Chou KC. Deciphering the effects of gene deletion on yeast longevity using network and machine learning approaches. Biochimie. 94: 1017-25. PMID 22239951 DOI: 10.1016/J.Biochi.2011.12.024 |
0.379 |
|
| 2012 |
Li BQ, Hu LL, Niu S, Cai YD, Chou KC. Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approaches. Journal of Proteomics. 75: 1654-65. PMID 22178444 DOI: 10.1016/J.Jprot.2011.12.003 |
0.373 |
|
| 2012 |
Chen L, Cai YD, Shi XH, Huang T. Analysis of metabolic pathway using hybrid properties Protein and Peptide Letters. 19: 99-107. PMID 21919854 DOI: 10.2174/092986612798472857 |
0.316 |
|
| 2012 |
Huang T, Cai YD, Chen L, Hu LL, Kong XY, Li YX, Chou KC. Selection of reprogramming factors of induced pluripotent stem cells based on the protein interaction network and functional profiles. Protein and Peptide Letters. 19: 113-9. PMID 21919852 DOI: 10.2174/092986612798472884 |
0.334 |
|
| 2012 |
Cai Y, Huang T, Hu L, Shi X, Xie L, Li Y. Prediction of lysine ubiquitination with mRMR feature selection and analysis. Amino Acids. 42: 1387-95. PMID 21267749 DOI: 10.1007/S00726-011-0835-0 |
0.421 |
|
| 2011 |
Zheng LL, Niu S, Hao P, Feng K, Cai YD, Li Y. Prediction of protein modification sites of pyrrolidone carboxylic acid using mRMR feature selection and analysis. Plos One. 6: e28221. PMID 22174779 DOI: 10.1371/Journal.Pone.0028221 |
0.41 |
|
| 2011 |
Huang T, Chen L, Cai YD, Chou KC. Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property Plos One. 6. PMID 21980418 DOI: 10.1371/Journal.Pone.0025297 |
0.368 |
|
| 2011 |
Huang T, Niu S, Xu Z, Huang Y, Kong X, Cai YD, Chou KC. Predicting transcriptional activity of multiple site p53 mutants based on hybrid properties. Plos One. 6: e22940. PMID 21857971 DOI: 10.1371/Journal.Pone.0022940 |
0.376 |
|
| 2011 |
Hu LL, Huang T, Cai YD, Chou KC. Prediction of body fluids where proteins are secreted into based on protein interaction network Plos One. 6. PMID 21829572 DOI: 10.1371/Journal.Pone.0022989 |
0.391 |
|
| 2011 |
Hu LL, Li Z, Wang K, Niu S, Shi XH, Cai YD, Li HP. Prediction and analysis of protein methylarginine and methyllysine based on Multisequence features. Biopolymers. 95: 763-71. PMID 21544797 DOI: 10.1002/Bip.21645 |
0.399 |
|
| 2011 |
Wang P, Hu L, Liu G, Jiang N, Chen X, Xu J, Zheng W, Li L, Tan M, Chen Z, Song H, Cai YD, Chou KC. Prediction of antimicrobial peptides based on sequence alignment and feature selection methods. Plos One. 6: e18476. PMID 21533231 DOI: 10.1371/Journal.Pone.0018476 |
0.375 |
|
| 2011 |
Hu L, Huang T, Liu XJ, Cai YD. Predicting protein phenotypes based on protein-protein interaction network. Plos One. 6: e17668. PMID 21423698 DOI: 10.1371/Journal.Pone.0017668 |
0.374 |
|
| 2011 |
Cai Y, He J, Lu L. Predicting sumoylation site by feature selection method. Journal of Biomolecular Structure & Dynamics. 28: 797-804. PMID 21294590 DOI: 10.1080/07391102.2011.10508607 |
0.4 |
|
| 2011 |
Hu L, Huang T, Shi X, Lu WC, Cai YD, Chou KC. Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties. Plos One. 6: e14556. PMID 21283518 DOI: 10.1371/Journal.Pone.0014556 |
0.414 |
|
| 2011 |
Huang T, Wan S, Xu Z, Zheng Y, Feng KY, Li HP, Kong X, Cai YD. Analysis and prediction of translation rate based on sequence and functional features of the mRNA. Plos One. 6: e16036. PMID 21253596 DOI: 10.1371/Journal.Pone.0016036 |
0.373 |
|
| 2011 |
Hu LL, Wan SB, Niu S, Shi XH, Li HP, Cai YD, Chou KC. Prediction and analysis of protein palmitoylation sites. Biochimie. 93: 489-96. PMID 21075167 DOI: 10.1016/J.Biochi.2010.10.022 |
0.424 |
|
| 2011 |
Cai Y, He J, Lu L. Prediction of mucin-type O-glycosylation sites by a two-staged strategy. Molecular Diversity. 15: 427-33. PMID 20652405 DOI: 10.1007/S11030-010-9240-Y |
0.405 |
|
| 2011 |
Wan S, Hu L, Niu S, Wang K, Cai Y, Lu W, Chou K. Identification of Multiple Subcellular Locations for Proteins in Budding Yeast Current Bioinformatics. 6: 71-80. DOI: 10.2174/157489311795222374 |
0.332 |
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| 2011 |
Huang T, Chen L, Liu X, Cai Y. Predicting triplet of transcription factor - mediating enzyme - target gene by functional profiles Neurocomputing. 74: 3677-3681. DOI: 10.1016/J.Neucom.2011.07.019 |
0.331 |
|
| 2010 |
Hu LL, Niu S, Huang T, Wang K, Shi XH, Cai YD. Prediction and analysis of protein hydroxyproline and hydroxylysine. Plos One. 5: e15917. PMID 21209839 DOI: 10.1371/Journal.Pone.0015917 |
0.39 |
|
| 2010 |
Chen L, Huang T, Shi XH, Cai YD, Chou KC. Analysis of protein pathway networks using hybrid properties Molecules. 15: 8177-8192. PMID 21076385 DOI: 10.3390/Molecules15118177 |
0.388 |
|
| 2010 |
Chen L, He ZS, Huang T, Cai YD. Using compound similarity and functional domain composition for prediction of drug-target interaction networks Medicinal Chemistry. 6: 388-395. PMID 21054276 DOI: 10.2174/157340610793563983 |
0.377 |
|
| 2010 |
Niu S, Huang T, Feng K, Cai Y, Li Y. Prediction of tyrosine sulfation with mRMR feature selection and analysis. Journal of Proteome Research. 9: 6490-7. PMID 20973568 DOI: 10.1021/Pr1007152 |
0.413 |
|
| 2010 |
Cai YD, Huang T, Feng KY, Hu L, Xie L. A unified 35-gene signature for both subtype classification and survival prediction in diffuse large B-cell Lymphomas Plos One. 5: 1-8. PMID 20856936 DOI: 10.1371/Journal.Pone.0012726 |
0.36 |
|
| 2010 |
Cai Y, He Z, Shi X, Kong X, Gu L, Xie L. A novel sequence-based method of predicting protein DNA-binding residues, using a machine learning approach. Molecules and Cells. 30: 99-105. PMID 20706794 DOI: 10.1007/S10059-010-0093-0 |
0.366 |
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| 2010 |
Huang T, Wang P, Ye ZQ, Xu H, He Z, Feng KY, Hu L, Cui W, Wang K, Dong X, Xie L, Kong X, Cai YD, Li Y. Prediction of deleterious non-synonymous SNPs based on protein interaction network and hybrid properties. Plos One. 5: e11900. PMID 20689580 DOI: 10.1371/Journal.Pone.0011900 |
0.339 |
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| 2010 |
Huang T, Shi XH, Wang P, He Z, Feng KY, Hu L, Kong X, Li YX, Cai YD, Chou KC. Analysis and prediction of the metabolic stability of proteins based on their sequential features, subcellular locations and interaction networks Plos One. 5. PMID 20532046 DOI: 10.1371/Journal.Pone.0010972 |
0.405 |
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| 2010 |
Yang XY, Shi XH, Meng X, Li XL, Lin K, Qian ZL, Feng KY, Kong XY, Cai YD. Classification of transcription factors using protein primary structure. Protein and Peptide Letters. 17: 899-908. PMID 20394581 DOI: 10.2174/092986610791306670 |
0.372 |
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| 2010 |
He Z, Zhang J, Shi XH, Hu LL, Kong X, Cai YD, Chou KC. Predicting drug-target interaction networks based on functional groups and biological features. Plos One. 5: e9603. PMID 20300175 DOI: 10.1371/Journal.Pone.0009603 |
0.33 |
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| 2010 |
Chen L, Qian Z, Fen K, Cai Y. Prediction of interactiveness between small molecules and enzymes by combining gene ontology and compound similarity. Journal of Computational Chemistry. 31: 1766-76. PMID 20033913 DOI: 10.1002/Jcc.21467 |
0.344 |
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| 2010 |
Cai Y, He J, Li X, Feng K, Lu L, Feng K, Kong X, Lu W. Predicting protein subcellular locations with feature selection and analysis. Protein and Peptide Letters. 17: 464-72. PMID 19995336 DOI: 10.2174/092986610790963654 |
0.434 |
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| 2010 |
Yuan Y, Shi X, Li X, Lu W, Cai Y, Gu L, Liu L, Li M, Kong X, Xing M. Prediction of interactiveness of proteins and nucleic acids based on feature selections. Molecular Diversity. 14: 627-33. PMID 19816781 DOI: 10.1007/S11030-009-9198-9 |
0.424 |
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| 2010 |
Cai Y, Lu L, Chen L, He J. Predicting subcellular location of proteins using integrated-algorithm method Molecular Diversity. 14: 551-558. PMID 19662505 DOI: 10.1007/S11030-009-9182-4 |
0.396 |
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| 2010 |
Lu L, Qian Z, Shi X, Li H, Cai YD, Li Y. A knowledge-based method to predict the cooperative relationship between transcription factors. Molecular Diversity. 14: 815-9. PMID 19590970 DOI: 10.1007/S11030-009-9177-1 |
0.386 |
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| 2010 |
Lu L, Shi XH, Li SJ, Xie ZQ, Feng YL, Lu WC, Li YX, Li H, Cai YD. Protein sumoylation sites prediction based on two-stage feature selection. Molecular Diversity. 14: 81-6. PMID 19472067 DOI: 10.1007/S11030-009-9149-5 |
0.413 |
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| 2010 |
Lei L, Feng K, He Z, Cai Y. A novel voting system for the identification of eukaryotic genome promoters Journal of Biomedical Science and Engineering. 3: 719-726. DOI: 10.4236/Jbise.2010.37096 |
0.357 |
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| 2010 |
Lu L, Lin K, Qian Z, Li H, Cai Y, Li Y. Predicting DNA methylation status using word composition Journal of Biomedical Science and Engineering. 3: 672-676. DOI: 10.4236/Jbise.2010.37091 |
0.3 |
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| 2010 |
Cai Y, He Z, Hu L, Li B, Zhou Y, Xiao H, Wang Z, Feng K, Lu L, Feng K, Li H. Gene finding by integrating gene finders Journal of Biomedical Science and Engineering. 3: 1061-1068. DOI: 10.4236/Jbise.2010.311137 |
0.366 |
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| 2009 |
Huang T, Cui W, Hu L, Feng K, Li YX, Cai YD. Prediction of pharmacological and xenobiotic responses to drugs based on time course gene expression profiles Plos One. 4. PMID 19956587 DOI: 10.1371/Journal.Pone.0008126 |
0.369 |
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| 2009 |
Chen L, Shi X, Kong X, Zeng Z, Cai YD. Identifying protein complexes using hybrid properties. Journal of Proteome Research. 8: 5212-8. PMID 19764809 DOI: 10.1021/Pr900554A |
0.392 |
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| 2009 |
Lu J, Niu B, Liu L, Lu WC, Cai YD. Prediction of small molecules' metabolic pathways based on functional group composition. Protein and Peptide Letters. 16: 969-76. PMID 19689424 DOI: 10.2174/092986609788923374 |
0.302 |
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| 2009 |
Chen L, Lu L, Feng K, Li W, Song J, Zheng L, Yuan Y, Zeng Z, Feng K, Lu W, Cai Y. Multiple classifier integration for the prediction of protein structural classes. Journal of Computational Chemistry. 30: 2248-54. PMID 19274708 DOI: 10.1002/Jcc.21230 |
0.382 |
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| 2009 |
Niu B, Jin Y, Lu L, Fen K, Gu L, He Z, Lu W, Li Y, Cai Y. Prediction of interaction between small molecule and enzyme using AdaBoost. Molecular Diversity. 13: 313-20. PMID 19219560 DOI: 10.1007/S11030-009-9116-1 |
0.331 |
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| 2009 |
Liu L, Cai Y, Lu W, Feng K, Peng C, Niu B. Prediction of protein-protein interactions based on PseAA composition and hybrid feature selection. Biochemical and Biophysical Research Communications. 380: 318-22. PMID 19171120 DOI: 10.1016/J.Bbrc.2009.01.077 |
0.407 |
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| 2009 |
Cai Y, He J, Li X, Lu L, Yang X, Feng K, Lu W, Kong X. A novel computational approach to predict transcription factor DNA binding preference. Journal of Proteome Research. 8: 999-1003. PMID 19099508 DOI: 10.1021/Pr800717Y |
0.354 |
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| 2009 |
Lu L, Niu B, Zhao J, Liu L, Lu WC, Liu XJ, Li YX, Cai YD. GalNAc-transferase specificity prediction based on feature selection method. Peptides. 30: 359-64. PMID 18955094 DOI: 10.1016/J.Peptides.2008.09.020 |
0.352 |
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| 2009 |
Niu B, Lu L, Liu L, Gu TH, Feng KY, Lu WC, Cai YD. HIV-1 protease cleavage site prediction based on amino acid property. Journal of Computational Chemistry. 30: 33-9. PMID 18496789 DOI: 10.1002/Jcc.21024 |
0.323 |
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| 2009 |
Liu P, Cai Y, Qian Z, Ni S, Dong L, Lu C, Shu J, Zeng Z, Lu W. FastCluster: a graph theory based algorithm for removing redundant sequences Journal of Biomedical Science and Engineering. 2: 621-625. DOI: 10.4236/Jbise.2009.28090 |
0.321 |
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| 2008 |
Li W, Lin K, Feng K, Cai Y. Prediction of protein structural classes using hybrid properties. Molecular Diversity. 12: 171-9. PMID 18953662 DOI: 10.1007/S11030-008-9093-9 |
0.413 |
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| 2008 |
Xu X, Yu D, Fang W, Cheng Y, Qian Z, Lu W, Cai Y, Feng K. Prediction of peptidase category based on functional domain composition. Journal of Proteome Research. 7: 4521-4. PMID 18763822 DOI: 10.1021/Pr800292W |
0.402 |
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| 2008 |
Niu B, Jin YH, Feng KY, Liu L, Lu WC, Cai YD, Li GZ. Predicting membrane protein types with bragging learner. Protein and Peptide Letters. 15: 590-4. PMID 18680454 DOI: 10.2174/092986608784966921 |
0.409 |
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| 2008 |
Cai Y, Lu L. Predicting N-terminal acetylation based on feature selection method Biochemical and Biophysical Research Communications. 372: 862-865. PMID 18533108 DOI: 10.1016/J.Bbrc.2008.05.143 |
0.328 |
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| 2008 |
Niu B, Jin YH, Feng KY, Lu WC, Cai YD, Li GZ. Using AdaBoost for the prediction of subcellular location of prokaryotic and eukaryotic proteins. Molecular Diversity. 12: 41-5. PMID 18506593 DOI: 10.1007/S11030-008-9073-0 |
0.41 |
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| 2008 |
Jin YH, Niu B, Feng KY, Lu WC, Cai YD, Li GZ. Predicting subcellular localization with AdaBoost Learner. Protein and Peptide Letters. 15: 286-9. PMID 18336359 DOI: 10.2174/092986608783744234 |
0.408 |
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| 2008 |
Jia P, Qian Z, Feng K, Lu W, Li Y, Cai Y. Prediction of membrane protein types in a hybrid space. Journal of Proteome Research. 7: 1131-7. PMID 18260610 DOI: 10.1021/Pr700715C |
0.401 |
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| 2007 |
Li S, Liu B, Cai Y, Li Y. Predicting protein N-glycosylation by combining functional domain and secretion information. Journal of Biomolecular Structure & Dynamics. 25: 49-54. PMID 17676937 DOI: 10.1080/07391102.2007.10507154 |
0.395 |
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| 2007 |
Qian Z, Lu L, Liu X, Cai Y, Li Y. An approach to predict transcription factor DNA binding site specificity based upon gene and transcription factor functional categorization Bioinformatics. 23: 2449-2454. PMID 17623704 DOI: 10.1093/Bioinformatics/Btm348 |
0.338 |
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| 2007 |
Niu B, Lu W, Yang S, Cai Y, Li G. Support vector machine for SAR/QSAR of phenethyl-amines. Acta Pharmacologica Sinica. 28: 1075-1086. PMID 17588345 DOI: 10.1111/J.1745-7254.2007.00573.X |
0.343 |
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| 2007 |
Lu L, Qian Z, Cai Y, Li Y. Software note: ECS: An automatic enzyme classifier based on functional domain composition Computational Biology and Chemistry. 31: 226-232. PMID 17500036 DOI: 10.1016/J.Compbiolchem.2007.03.008 |
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| 2007 |
Liu B, Li S, Wang Y, Lu L, Li Y, Cai Y. Predicting the protein SUMO modification sites based on Properties Sequential Forward Selection (PSFS). Biochemical and Biophysical Research Communications. 358: 136-9. PMID 17470363 DOI: 10.1016/J.Bbrc.2007.04.097 |
0.417 |
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| 2007 |
Jia P, Qian Z, Zeng Z, Cai Y, Li Y. Prediction of subcellular protein localization based on functional domain composition. Biochemical and Biophysical Research Communications. 357: 366-70. PMID 17428441 DOI: 10.1016/J.Bbrc.2007.03.139 |
0.409 |
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| 2006 |
Qian Z, Cai Y, Li Y. Automatic transcription factor classifier based on functional domain composition. Biochemical and Biophysical Research Communications. 347: 141-144. PMID 16808896 DOI: 10.1016/J.Bbrc.2006.06.060 |
0.328 |
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| 2006 |
Niu B, Cai YD, Lu WC, Li GZ, Chou KC. Predicting protein structural class with AdaBoost Learner. Protein and Peptide Letters. 13: 489-92. PMID 16800803 DOI: 10.2174/092986606776819619 |
0.385 |
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| 2006 |
Li S, Liu B, Zeng R, Cai Y, Li Y. Predicting O-glycosylation sites in mammalian proteins by using SVMs. Computational Biology and Chemistry. 30: 203-8. PMID 16731044 DOI: 10.1016/J.Compbiolchem.2006.02.002 |
0.388 |
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| 2006 |
Jia P, Shi T, Cai Y, Li Y. Demonstration of two novel methods for predicting functional siRNA efficiency. Bmc Bioinformatics. 7: 271. PMID 16729898 DOI: 10.1186/1471-2105-7-271 |
0.376 |
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| 2006 |
Zhang GQ, Cao ZW, Luo QM, Cai YD, Li YX. Operon prediction based on SVM. Computational Biology and Chemistry. 30: 233-40. PMID 16716751 DOI: 10.1016/J.Compbiolchem.2006.03.002 |
0.395 |
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| 2006 |
Chou KC, Cai YD. Predicting protein-protein interactions from sequences in a hybridization space. Journal of Proteome Research. 5: 316-22. PMID 16457597 DOI: 10.1021/Pr050331G |
0.418 |
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| 2006 |
Zhou G, Cai Y. Predicting protease types by hybridizing gene ontology and pseudo amino acid composition Proteins. 63: 681-684. PMID 16456852 DOI: 10.1002/Prot.20898 |
0.398 |
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| 2006 |
Yu X, Cao J, Cai Y, Shi T, Li Y. Predicting rRNA-, RNA-, and DNA-binding proteins from primary structure with support vector machines. Journal of Theoretical Biology. 240: 175-84. PMID 16274699 DOI: 10.1016/J.Jtbi.2005.09.018 |
0.403 |
|
| 2006 |
Chou KC, Cai YD. Prediction of membrane protein types by incorporating amphipathic effects. Journal of Chemical Information and Modeling. 45: 407-13. PMID 15807506 DOI: 10.1021/Ci049686V |
0.304 |
|
| 2005 |
Chou KC, Cai YD. Prediction of protease types in a hybridization space. Biochemical and Biophysical Research Communications. 339: 1015-20. PMID 16325146 DOI: 10.1016/J.Bbrc.2005.10.196 |
0.394 |
|
| 2005 |
Shi TL, Li YX, Cai YD, Chou KC. Computational methods for protein-protein interaction and their application. Current Protein & Peptide Science. 6: 443-9. PMID 16248796 DOI: 10.2174/138920305774329313 |
0.405 |
|
| 2005 |
Cai YD, Feng KY, Lu WC, Chou KC. Using LogitBoost classifier to predict protein structural classes. Journal of Theoretical Biology. 238: 172-6. PMID 16043193 DOI: 10.1016/J.Jtbi.2005.05.034 |
0.407 |
|
| 2005 |
Cai YD, Chou KC. Predicting membrane protein type by functional domain composition and pseudo-amino acid composition. Journal of Theoretical Biology. 238: 395-400. PMID 16040052 DOI: 10.1016/J.Jtbi.2005.05.035 |
0.355 |
|
| 2005 |
Feng KY, Cai YD, Chou KC. Boosting classifier for predicting protein domain structural class. Biochemical and Biophysical Research Communications. 334: 213-7. PMID 15993842 DOI: 10.1016/J.Bbrc.2005.06.075 |
0.405 |
|
| 2005 |
Cai YD, Chou KC. Predicting enzyme subclass by functional domain composition and pseudo amino acid composition. Journal of Proteome Research. 4: 967-71. PMID 15952744 DOI: 10.1021/Pr0500399 |
0.355 |
|
| 2005 |
Cai YD, Zhou GP, Chou KC. Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition. Journal of Theoretical Biology. 234: 145-9. PMID 15721043 DOI: 10.1016/J.Jtbi.2004.11.017 |
0.353 |
|
| 2005 |
Cai YD, Chou KC. Using functional domain composition to predict enzyme family classes. Journal of Proteome Research. 4: 109-11. PMID 15707365 DOI: 10.1021/Pr049835P |
0.403 |
|
| 2005 |
Chou KC, Cai YD. Using GO-PseAA predictor to identify membrane proteins and their types. Biochemical and Biophysical Research Communications. 327: 845-7. PMID 15649422 DOI: 10.1016/J.Bbrc.2004.12.069 |
0.343 |
|
| 2005 |
Chou KC, Cai YD. Using GO-PseAA predictor to predict enzyme sub-class. Biochemical and Biophysical Research Communications. 325: 506-9. PMID 15530421 DOI: 10.1016/J.Bbrc.2004.10.058 |
0.326 |
|
| 2005 |
Chou KC, Cai YD. Predicting enzyme family class in a hybridization space. Protein Science : a Publication of the Protein Society. 13: 2857-63. PMID 15498934 DOI: 10.1110/Ps.04981104 |
0.347 |
|
| 2004 |
Chou KC, Cai YD. Predicting protein localization in budding yeast. Bioinformatics (Oxford, England). 21: 944-50. PMID 15513989 DOI: 10.1093/Bioinformatics/Bti104 |
0.354 |
|
| 2004 |
Cai YD, Chou KC. Predicting 22 protein localizations in budding yeast. Biochemical and Biophysical Research Communications. 323: 425-8. PMID 15369769 DOI: 10.1016/J.Bbrc.2004.08.113 |
0.41 |
|
| 2004 |
Chou KC, Cai YD. Predicting protein structural class by functional domain composition. Biochemical and Biophysical Research Communications. 321: 1007-9. PMID 15358128 DOI: 10.1016/J.Bbrc.2004.07.059 |
0.349 |
|
| 2004 |
Dobson PD, Cai YD, Stapley BJ, Doig AJ. Prediction of protein function in the absence of significant sequence similarity. Current Medicinal Chemistry. 11: 2135-42. PMID 15279553 DOI: 10.2174/0929867043364702 |
0.31 |
|
| 2004 |
Chou KC, Cai YD. Prediction of protein subcellular locations by GO-FunD-PseAA predictor. Biochemical and Biophysical Research Communications. 320: 1236-9. PMID 15249222 DOI: 10.1016/J.Bbrc.2004.06.073 |
0.414 |
|
| 2004 |
Cai YD, Zhou GP, Jen CH, Lin SL, Chou KC. Identify catalytic triads of serine hydrolases by support vector machines. Journal of Theoretical Biology. 228: 551-7. PMID 15178202 DOI: 10.1016/J.Jtbi.2004.02.019 |
0.318 |
|
| 2004 |
Chou KC, Cai YD. Predicting subcellular localization of proteins by hybridizing functional domain composition and pseudo-amino acid composition. Journal of Cellular Biochemistry. 91: 1197-203. PMID 15048874 DOI: 10.1002/Jcb.10790 |
0.389 |
|
| 2004 |
Chou KC, Cai YD. A novel approach to predict active sites of enzyme molecules. Proteins. 55: 77-82. PMID 14997541 DOI: 10.1002/Prot.10622 |
0.312 |
|
| 2004 |
Cai YD, Chou KC. Predicting subcellular localization of proteins in a hybridization space. Bioinformatics (Oxford, England). 20: 1151-6. PMID 14764553 DOI: 10.1093/Bioinformatics/Bth054 |
0.404 |
|
| 2004 |
Cai YD, Ricardo PW, Jen CH, Chou KC. Application of SVM to predict membrane protein types. Journal of Theoretical Biology. 226: 373-6. PMID 14759643 DOI: 10.1016/J.Jtbi.2003.08.015 |
0.403 |
|
| 2004 |
Chou KC, Cai YD. Prediction and classification of protein subcellular location-sequence-order effect and pseudo amino acid composition. Journal of Cellular Biochemistry. 90: 1250-60. PMID 14635197 DOI: 10.1002/Jcb.10719 |
0.387 |
|
| 2004 |
Chou KC, Cai YD. A new hybrid approach to predict subcellular localization of proteins by incorporating gene ontology. Biochemical and Biophysical Research Communications. 311: 743-7. PMID 14623335 DOI: 10.1016/J.Bbrc.2003.10.062 |
0.392 |
|
| 2004 |
Chou KC, Cai YD. Predicting protein quaternary structure by pseudo amino acid composition. Proteins. 53: 282-9. PMID 14517979 DOI: 10.1002/Prot.10500 |
0.387 |
|
| 2004 |
Cai YD, Feng KY, Li YX, Chou KC. Support vector machine for predicting alpha-turn types. Peptides. 24: 629-30. PMID 12860209 DOI: 10.1016/S0196-9781(03)00100-1 |
0.346 |
|
| 2004 |
Cai YD, Zhou GP, Chou KC. Support vector machines for predicting membrane protein types by using functional domain composition. Biophysical Journal. 84: 3257-63. PMID 12719255 DOI: 10.1016/S0006-3495(03)70050-2 |
0.36 |
|
| 2003 |
Cai Y, Lin SL. Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequence. Biochimica Et Biophysica Acta. 1648: 127-133. PMID 12758155 DOI: 10.1016/S1570-9639(03)00112-2 |
0.428 |
|
| 2003 |
Cai YD, Chou KC. Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition. Biochemical and Biophysical Research Communications. 305: 407-11. PMID 12745090 DOI: 10.1016/S0006-291X(03)00775-7 |
0.354 |
|
| 2003 |
Cai YD, Liu XJ, Chou KC. Prediction of protein secondary structure content by artificial neural network. Journal of Computational Chemistry. 24: 727-31. PMID 12666164 DOI: 10.1002/Jcc.10222 |
0.351 |
|
| 2003 |
Cai Y, Liu X, Xu X, Chou K. Support vector machines for prediction of protein domain structural class. Journal of Theoretical Biology. 221: 115-120. PMID 12634048 DOI: 10.1006/Jtbi.2003.3179 |
0.377 |
|
| 2003 |
Cai YD, Lin SL, Chou KC. Support vector machines for prediction of protein signal sequences and their cleavage sites. Peptides. 24: 159-61. PMID 12576098 DOI: 10.1016/S0196-9781(02)00289-9 |
0.391 |
|
| 2003 |
Cai YD, Liu XJ, Xu XB, Chou KC. Support Vector Machines for predicting HIV protease cleavage sites in protein. Journal of Computational Chemistry. 23: 267-74. PMID 11924738 DOI: 10.1002/Jcc.10017 |
0.312 |
|
| 2002 |
Chou K, Cai Y. Using functional domain composition and support vector machines for prediction of protein subcellular location. Journal of Biological Chemistry. 277: 45765-45769. PMID 12186861 DOI: 10.1074/Jbc.M204161200 |
0.412 |
|
| 2002 |
Cai YD, Liu XJ, Xu XB, Chou KC. Artificial neural network method for predicting protein secondary structure content. Computers & Chemistry. 26: 347-50. PMID 12139417 DOI: 10.1016/S0097-8485(01)00125-5 |
0.332 |
|
| 2002 |
Cai YD, Liu XJ, Xu XB, Chou KC. Prediction of protein structural classes by support vector machines. Computers & Chemistry. 26: 293-6. PMID 11868916 DOI: 10.1016/S0097-8485(01)00113-9 |
0.375 |
|
| 2002 |
Cai YD, Liu XJ, Xu XB, Chou KC. Support vector machines for prediction of protein subcellular location by incorporating quasi-sequence-order effect. Journal of Cellular Biochemistry. 84: 343-8. PMID 11787063 DOI: 10.1002/Jcb.10030 |
0.393 |
|
| 2002 |
Cai YD, Liu XJ, Chou KC. Artificial neural network model for predicting protein subcellular location. Computers & Chemistry. 26: 179-82. PMID 11778941 DOI: 10.1016/S0097-8485(01)00106-1 |
0.416 |
|
| 2001 |
Cai Y, Liu X, Xu X, Zhou G. Support Vector Machines for predicting protein structural class Bmc Bioinformatics. 2: 3-3. PMID 11483157 DOI: 10.1186/1471-2105-2-3 |
0.367 |
|
| 2001 |
Cai YD. Is it a paradox or misinterpretation? Proteins: Structure, Function and Genetics. 43: 336-338. PMID 11288184 DOI: 10.1002/Prot.1045 |
0.383 |
|
| 2001 |
Cai YD, Liu XJ, Chou KC. Artificial neural network model for predicting membrane protein types. Journal of Biomolecular Structure & Dynamics. 18: 607-10. PMID 11245255 DOI: 10.1080/07391102.2001.10506692 |
0.328 |
|
| 2000 |
Cai Y, Liu X, Xu X, Chou K. Support vector machines for prediction of protein subcellular location. Molecular Cell Biology Research Communications. 4: 230-233. PMID 11409917 DOI: 10.1006/Mcbr.2001.0285 |
0.387 |
|
| 2000 |
Cai Y, Chou K. Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins. Molecular Cell Biology Research Communications. 4: 172-173. PMID 11281732 DOI: 10.1006/Mcbr.2001.0269 |
0.366 |
|
| 2000 |
Cai Y, Zhou G. Prediction of protein structural classes by neural network. Biochimie. 82: 783-785. PMID 11018296 DOI: 10.1016/S0300-9084(00)01161-5 |
0.345 |
|
| 1999 |
Cai Y, Li Y, Chou K. Classification and prediction of β–turn types by neural network Advances in Engineering Software. 30: 347-352. DOI: 10.1016/S0965-9978(98)00090-8 |
0.348 |
|
| 1998 |
Cai Y, Bork P. Homology-based gene prediction using neural nets. Analytical Biochemistry. 265: 269-74. PMID 9882402 DOI: 10.1006/Abio.1998.2876 |
0.554 |
|
| 1998 |
Cai Y, Chou K. Artificial neural network model for predicting HIV protease cleavage sites in protein Advances in Engineering Software. 29: 119-128. DOI: 10.1016/S0965-9978(98)00046-5 |
0.307 |
|
| 1997 |
Ponting CP, Cai YD, Bork P. The breast cancer gene product TSG101: a regulator of ubiquitination? Journal of Molecular Medicine (Berlin, Germany). 75: 467-9. PMID 9253709 |
0.404 |
|
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