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Zhining Wen - Publications

Affiliations: 
College of Chemistry Sichuan University, Chengdu Shi, Sichuan Sheng, China 
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Hao Y, He L, Zhou Y, Zhao Y, Li M, Jing R, Wen Z. Improving Model Performance on the Stratification of Breast Cancer Patients by Integrating Multiscale Genomic Features. Biomed Research International. 2020: 1475368. PMID 32908867 DOI: 10.1155/2020/1475368  0.344
2020 Zhao Y, Zhou Y, Liu Y, Hao Y, Li M, Pu X, Li C, Wen Z. Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform. Bmc Bioinformatics. 21: 195. PMID 32429941 DOI: 10.1186/S12859-020-03544-Z  0.343
2018 Liu Y, Liang Y, Kuang Q, Xie F, Hao Y, Wen Z, Li M. Post‐modified non‐negative matrix factorization for deconvoluting the gene expression profiles of specific cell types from heterogeneous clinical samples based on RNA‐sequencing data Journal of Chemometrics. 32. DOI: 10.1002/Cem.2929  0.303
2017 Liu K, He L, Liu Z, Xu J, Liu Y, Kuang Q, Wen Z, Li M. Mutation status coupled with RNA-sequencing data can efficiently identify important non-significantly mutated genes serving as diagnostic biomarkers of endometrial cancer. Bmc Bioinformatics. 18: 472. PMID 29297280 DOI: 10.1186/S12859-017-1891-6  0.31
2017 Li B, Gu ZY, Yan KX, Wen ZN, Zhao ZH, Li LJ, Li Y. Evaluating oral epithelial dysplasia classification system by near-infrared Raman spectroscopy. Oncotarget. 8: 76257-76265. PMID 29100309 DOI: 10.18632/Oncotarget.19343  0.312
2017 Xie F, He M, He L, Liu K, Li M, Hu G, Wen Z. Bipartite network analysis reveals metabolic gene expression profiles that are highly associated with the clinical outcomes of acute myeloid leukemia. Computational Biology and Chemistry. 67: 150-157. PMID 28110245 DOI: 10.1016/J.Compbiolchem.2017.01.002  0.314
2017 Yang Y, Xie F, Yan B, Li Y, Xu J, Liu Y, Wen Z, Li M. A reliable multiclass classification model for identifying the subtypes of parotid neoplasms constructed with variable combination population analysis and partial least squares regression based on Raman spectra Chemometrics and Intelligent Laboratory Systems. 170: 102-108. DOI: 10.1016/J.Chemolab.2017.08.012  0.318
2016 Xu J, Jing R, Liu Y, Dong Y, Wen Z, Li M. A new strategy for exploring the hierarchical structure of cancers by adaptively partitioning functional modules from gene expression network. Scientific Reports. 6: 28720. PMID 27349736 DOI: 10.1038/Srep28720  0.346
2016 Wang M, He X, Xiong Q, Jing R, Zhang Y, Wen Z, Kuang Q, Pu X, Li M, Xu T. A facile strategy applied to simultaneous qualitative-detection on multiple components of mixture samples: A joint study of infrared spectroscopy and multi-label algorithms on PBX explosives Rsc Advances. 6: 4713-4722. DOI: 10.1039/C5Ra20685E  0.303
2016 Lu T, Yuan Y, Jiao Y, Wen Z, Wang L, Zhao Y, Zhang Y, Li M, Pu X, Xu T. Simultaneous spectrophotometric quantification of dinitrobenzene isomers in water samples using multivariate calibration methods Chemometrics and Intelligent Laboratory Systems. 154: 72-79. DOI: 10.1016/J.Chemolab.2016.03.022  0.322
2015 Huang L, Jing R, Yang Y, Pu X, Li M, Wen Z, Li Y. Characteristic wavenumbers of Raman spectra reveal the molecular mechanisms of oral leukoplakia and can help to improve the performance of diagnostic models Analytical Methods. 7: 590-597. DOI: 10.1039/C4Ay02318H  0.305
2015 Lu T, Wen Z, Wang L, He X, Yuan Y, Wang M, Zhao Y, Li M, Pu X, Xu T. Quantitative determination on binary-component polymer bonded explosives: A joint study of ultraviolet spectrophotometry and multivariate calibration methods Chemometrics and Intelligent Laboratory Systems. 147: 131-138. DOI: 10.1016/J.Chemolab.2015.08.011  0.317
2015 Wang H, Huang L, Jing R, Yang Y, Liu K, Li M, Wen Z. Identifying oncogenes as features for clinical cancer prognosis by Bayesian nonparametric variable selection algorithm Chemometrics and Intelligent Laboratory Systems. 146: 464-471. DOI: 10.1016/J.Chemolab.2015.07.004  0.363
2014 He L, Wang Y, Yang Y, Huang L, Wen Z. Identifying the gene signatures from gene-pathway bipartite network guarantees the robust model performance on predicting the cancer prognosis. Biomed Research International. 2014: 424509. PMID 25126556 DOI: 10.1155/2014/424509  0.377
2014 Jiang L, Huang L, Kuang Q, Zhang J, Li M, Wen Z, He L. Improving the prediction of chemotherapeutic sensitivity of tumors in breast cancer via optimizing the selection of candidate genes. Computational Biology and Chemistry. 49: 71-8. PMID 24440656 DOI: 10.1016/J.Compbiolchem.2013.12.002  0.388
2013 Xie C, Wang Z, Wang C, Xu J, Wen Z, Wang H, Shi L, Chow MS, Huang Y, Zuo Z. Utilization of gene expression signature for quality control of traditional Chinese medicine formula Si-Wu-Tang. The Aaps Journal. 15: 884-92. PMID 23703112 DOI: 10.1208/S12248-013-9491-5  0.321
2013 Zhang L, Zhang J, Yang G, Wu D, Jiang L, Wen Z, Li M. Investigating the concordance of Gene Ontology terms reveals the intra- and inter-platform reproducibility of enrichment analysis Bmc Bioinformatics. 14: 143-143. PMID 23627640 DOI: 10.1186/1471-2105-14-143  0.349
2013 Zhang J, Zhang L, Yang G, Wu D, Jiang L, Huang L, Wen Z, Li M. Nonnegative matrix factorization for the improvement in sensitivity of discovering potentially disease-related genes Chemometrics and Intelligent Laboratory Systems. 126: 100-107. DOI: 10.1016/J.Chemolab.2013.05.004  0.328
2012 Liu MM, Wen Z, Wang Z, Zuo Z, Chow MSS, Shi L, Huang Y. Abstract 2575: DNA microarray and connectivity map analysis reveals estrogen-like activity of Chinese medicinal formula Si-Wu-Tang Cancer Research. 72: 2575-2575. DOI: 10.1158/1538-7445.Am2012-2575  0.332
2011 Li Y, Li G, Wen Z, Yin H, Hu M, Xiao J, Li M. Novel feature for catalytic protein residues reflecting interactions with other residues. Plos One. 6: e16932. PMID 21468322 DOI: 10.1371/Journal.Pone.0016932  0.311
2011 Wen Z, Wang Z, Wang S, Ravula R, Yang L, Xu J, Wang C, Zuo Z, Chow MS, Shi L, Huang Y. Discovery of molecular mechanisms of traditional Chinese medicinal formula Si-Wu-Tang using gene expression microarray and connectivity map. Plos One. 6: e18278. PMID 21464939 DOI: 10.1371/Journal.Pone.0018278  0.331
2010 Shi L, Campbell G, Jones WD, Campagne F, Wen Z, Walker SJ, Su Z, Chu TM, Goodsaid FM, Pusztai L, Shaughnessy JD, Oberthuer A, Thomas RS, Paules RS, Fielden M, et al. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology. 28: 827-38. PMID 20676074 DOI: 10.1038/Nbt.1665  0.356
2008 Guo Y, Yu L, Wen Z, Li M. Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences Nucleic Acids Research. 36: 3025-3030. PMID 18390576 DOI: 10.1093/Nar/Gkn159  0.341
2006 Guo Y, Li M, Lu M, Wen Z, Huang Z. Predicting G‐protein coupled receptors–G‐protein coupling specificity based on autocross‐covariance transform Proteins. 65: 55-60. PMID 16865706 DOI: 10.1002/Prot.21097  0.328
2006 Guo Y-, Li M, Lu M, Wen Z, Wang K, Li G, Wu J. Classifying G protein-coupled receptors and nuclear receptors on the basis of protein power spectrum from fast Fourier transform. Amino Acids. 30: 397-402. PMID 16773242 DOI: 10.1007/S00726-006-0332-Z  0.301
2006 Guo YZ, Li ML, Wang KL, Wen ZN, Lu MC, Liu LX, Jiang L. Fast fourier transform-based support vector machine for prediction of G-protein coupled receptor subfamilies. Acta Biochimica Et Biophysica Sinica. 37: 759-66. PMID 16270155 DOI: 10.1111/J.1745-7270.2005.00110.X  0.324
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