Year |
Citation |
Score |
2021 |
Lin CX, Li HD, Deng C, Liu W, Erhardt S, Wu FX, Zhao XM, Guan Y, Wang J, Wang D, Hu B, Wang J. An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings in Bioinformatics. PMID 34953465 DOI: 10.1093/bib/bbab522 |
0.311 |
|
2021 |
Lin CX, Li HD, Deng C, Guan Y, Wang J. TissueNexus: a database of human tissue functional gene networks built with a large compendium of curated RNA-seq data. Nucleic Acids Research. PMID 34850130 DOI: 10.1093/nar/gkab1133 |
0.372 |
|
2020 |
Xiao Y, Wang X, Zhang H, Ulintz PJ, Li H, Guan Y. FastClone is a probabilistic tool for deconvoluting tumor heterogeneity in bulk-sequencing samples. Nature Communications. 11: 4469. PMID 32901013 DOI: 10.1038/S41467-020-18169-2 |
0.324 |
|
2020 |
Wang Z, Li H, Carpenter C, Guan Y. Challenge-Enabled Machine Learning to Drug-Response Prediction. The Aaps Journal. 22: 106. PMID 32778984 DOI: 10.1208/S12248-020-00494-5 |
0.385 |
|
2020 |
Fan K, Guan Y, Zhang Y. Graph2GO: a multi-modal attributed network embedding method for inferring protein functions. Gigascience. 9. PMID 32770210 DOI: 10.1093/Gigascience/Giaa081 |
0.424 |
|
2020 |
Yang M, Petralia F, Li Z, Li H, Ma W, Song X, Kim S, Lee H, Yu H, Lee B, Bae S, Heo E, Kaczmarczyk J, Stępniak P, Warchoł M, ... ... Guan Y, et al. Crowdsourced Assessment of the of Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics. Cell Systems. PMID 32710834 DOI: 10.1016/J.Cels.2020.06.013 |
0.439 |
|
2020 |
Mason MJ, Schinke C, Eng CLP, Towfic F, Gruber F, Dervan A, White BS, Pratapa A, Guan Y, Chen H, Cui Y, Li B, Yu T, Chaibub Neto E, Mavrommatis K, et al. Multiple Myeloma DREAM Challenge reveals epigenetic regulator PHF19 as marker of aggressive disease. Leukemia. PMID 32060406 DOI: 10.1038/S41375-020-0742-Z |
0.393 |
|
2020 |
Rai V, Quang DX, Erdos MR, Cusanovich DA, Daza RM, Narisu N, Zou LS, Didion JP, Guan Y, Shendure J, Parker SCJ, Collins FS. Single-cell ATAC-Seq in human pancreatic islets and deep learning upscaling of rare cells reveals cell-specific type 2 diabetes regulatory signatures. Molecular Metabolism. 32: 109-121. PMID 32029221 DOI: 10.1016/J.Molmet.2019.12.006 |
0.313 |
|
2019 |
Li H, Siddiqui O, Zhang H, Guan Y. Joint learning improves protein abundance prediction in cancers. Bmc Biology. 17: 107. PMID 31870366 DOI: 10.1186/S12915-019-0730-9 |
0.312 |
|
2019 |
Zou Z, Zhang H, Guan Y, Zhang J. Deep residual neural networks resolve quartet molecular phylogenies. Molecular Biology and Evolution. PMID 31868908 DOI: 10.1093/Molbev/Msz307 |
0.374 |
|
2019 |
Li H, Guan Y. Machine Learning Empowers Phosphoproteome Prediction in Cancers. Bioinformatics (Oxford, England). PMID 31410451 DOI: 10.1093/Bioinformatics/Btz639 |
0.364 |
|
2019 |
Menden MP, Wang D, Mason MJ, Szalai B, Bulusu KC, Guan Y, Yu T, Kang J, Jeon M, Wolfinger R, Nguyen T, Zaslavskiy M, Jang IS, Ghazoui Z, et al. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications. 10: 2674. PMID 31209238 DOI: 10.1038/S41467-019-09799-2 |
0.351 |
|
2019 |
Li H, Quang D, Guan Y. Anchor: trans-cell type prediction of transcription factor binding sites. Genome Research. 29: 281-292. PMID 30567711 DOI: 10.1101/Gr.237156.118 |
0.345 |
|
2018 |
Li HD, Bai T, Sandford E, Burmeister M, Guan Y. BaiHui: Cross-species Brain-specific Network Built with Hundreds of Hand-curated Datasets. Bioinformatics (Oxford, England). PMID 30521009 DOI: 10.1093/Bioinformatics/Bty1001 |
0.453 |
|
2018 |
Tang M, Gao C, Goutman SA, Kalinin A, Mukherjee B, Guan Y, Dinov ID. Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics. PMID 30460455 DOI: 10.1007/S12021-018-9406-9 |
0.337 |
|
2018 |
Li H, Li T, Quang D, Guan Y. Network Propagation Predicts Drug Synergy in Cancers. Cancer Research. PMID 30054332 DOI: 10.1158/0008-5472.Can-18-0740 |
0.354 |
|
2018 |
Guan Y, Li T, Zhang H, Zhu F, Omenn GS. Prioritizing Predictive Biomarkers for Gene Essentiality in Cancer Cells with mRNA Expression Data and DNA Copy Number Profile. Bioinformatics (Oxford, England). PMID 29912344 DOI: 10.1093/Bioinformatics/Bty467 |
0.406 |
|
2018 |
Quang D, Guan Y, Parker SCJ. YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPU. Bioinformatics (Oxford, England). PMID 29790915 DOI: 10.1093/Bioinformatics/Bty396 |
0.316 |
|
2018 |
Causey JL, Ashby C, Walker K, Wang ZP, Yang M, Guan Y, Moore JH, Huang X. DNAp: A Pipeline for DNA-seq Data Analysis. Scientific Reports. 8: 6793. PMID 29717215 DOI: 10.1038/S41598-018-25022-6 |
0.326 |
|
2018 |
Duda M, Zhang H, Li HD, Wall DP, Burmeister M, Guan Y. Brain-specific functional relationship networks inform autism spectrum disorder gene prediction. Translational Psychiatry. 8: 56. PMID 29507298 DOI: 10.1038/S41398-018-0098-6 |
0.439 |
|
2017 |
Gönen M, Weir BA, Cowley GS, Vazquez F, Guan Y, Jaiswal A, Karasuyama M, Uzunangelov V, Wang T, Tsherniak A, Howell S, Marbach D, Hoff B, Norman TC, Airola A, et al. A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines. Cell Systems. PMID 28988802 DOI: 10.1016/J.Cels.2017.09.004 |
0.764 |
|
2017 |
Ramani B, Panwar B, Moore LR, Wang B, Huang R, Guan Y, Paulson HL. Comparison of spinocerebellar ataxia type 3 mouse models identifies early gain-of-function, cell-autonomous transcriptional changes in oligodendrocytes. Human Molecular Genetics. 26: 3362-3374. PMID 28854700 DOI: 10.1093/Hmg/Ddx224 |
0.337 |
|
2017 |
Ku CJ, Sekiguchi JM, Panwar B, Guan Y, Takahashi S, Yoh K, Maillard I, Hosoya T, Engel JD. GATA3 abundance is a critical determinant of T cell receptor beta allelic exclusion. Molecular and Cellular Biology. PMID 28320875 DOI: 10.1128/Mcb.00052-17 |
0.353 |
|
2017 |
Keller A, Gerkin RC, Guan Y, Dhurandhar A, Turu G, Szalai B, Mainland JD, Ihara Y, Yu CW, Wolfinger R, Vens C, Schietgat L, De Grave K, Norel R, et al. Predicting human olfactory perception from chemical features of odor molecules. Science (New York, N.Y.). PMID 28219971 DOI: 10.1126/Science.Aal2014 |
0.325 |
|
2017 |
Li H, Zhang Y, Guan Y, Menon R, Omenn GS. Annotation of Alternatively Spliced Proteins and Transcripts with Protein-Folding Algorithms and Isoform-Level Functional Networks. Methods in Molecular Biology (Clifton, N.J.). 1558: 415-436. PMID 28150250 DOI: 10.1007/978-1-4939-6783-4_20 |
0.424 |
|
2016 |
Zhu F, Panwar B, Dodge HH, Li H, Hampstead BM, Albin RL, Paulson HL, Guan Y. COMPASS: A computational model to predict changes in MMSE scores 24-months after initial assessment of Alzheimer's disease. Scientific Reports. 6: 34567. PMID 27703197 DOI: 10.1038/Srep34567 |
0.382 |
|
2016 |
Sieberts SK, Zhu F, García-García J, Stahl E, Pratap A, Pandey G, Pappas D, Aguilar D, Anton B, Bonet J, Eksi R, Fornés O, Guney E, Li H, Marín MA, ... ... Guan Y, ... ... Guan Y, et al. Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis. Nature Communications. 7: 12460. PMID 27549343 DOI: 10.1038/Ncomms12460 |
0.343 |
|
2016 |
Panwar B, Menon R, Eksi R, Li H, Omenn GS, Guan Y. Genome-wide Functional Annotation of Human Protein-coding Splice Variants Using Multiple Instance Learning. Journal of Proteome Research. PMID 27142340 DOI: 10.1021/Acs.Jproteome.5B00883 |
0.503 |
|
2016 |
Li HD, Menon R, Eksi R, Guerler A, Zhang Y, Omenn GS, Guan Y. A Network of Splice Isoforms for the Mouse. Scientific Reports. 6: 24507. PMID 27079421 DOI: 10.1038/Srep24507 |
0.501 |
|
2016 |
Hill SM, Heiser LM, Cokelaer T, Unger M, Nesser NK, Carlin DE, Zhang Y, Sokolov A, Paull EO, Wong CK, Graim K, Bivol A, Wang H, Zhu F, Afsari B, ... ... Guan Y, et al. Inferring causal molecular networks: empirical assessment through a community-based effort. Nature Methods. PMID 26901648 DOI: 10.1038/Nmeth.3773 |
0.729 |
|
2016 |
Menon S, Lu C, Menon R, Schwartz J, Guan Y. Effects of Antioxidants in Human Cancers: Differential Effects on Non-Coding Intronic RNA Expression. Antioxidants (Basel, Switzerland). 5. PMID 26805894 DOI: 10.3390/Antiox5010001 |
0.307 |
|
2016 |
Li HD, Omenn GS, Guan Y. A proteogenomic approach to understand splice isoform functions through sequence and expression-based computational modeling. Briefings in Bioinformatics. PMID 26740460 DOI: 10.1093/Bib/Bbv109 |
0.44 |
|
2015 |
Zhu F, Panwar B, Guan Y. Algorithms for modeling global and context-specific functional relationship networks. Briefings in Bioinformatics. PMID 26254431 DOI: 10.1093/Bib/Bbv065 |
0.446 |
|
2015 |
Li HD, Menon R, Govindarajoo B, Panwar B, Zhang Y, Omenn GS, Guan Y. Functional Networks of Highest-Connected Splice Isoforms: From The Chromosome 17 Human Proteome Project. Journal of Proteome Research. PMID 26216192 DOI: 10.1021/Acs.Jproteome.5B00494 |
0.468 |
|
2015 |
Guan Y, Martini S, Mariani LH. Genes Caught In Flagranti: Integrating Renal Transcriptional Profiles With Genotypes and Phenotypes. Seminars in Nephrology. 35: 237-44. PMID 26215861 DOI: 10.1016/J.Semnephrol.2015.04.003 |
0.403 |
|
2015 |
Panwar B, Menon R, Eksi R, Omenn GS, Guan Y. MI-PVT: A Tool for Visualizing the Chromosome-Centric Human Proteome. Journal of Proteome Research. PMID 26204236 DOI: 10.1021/Acs.Jproteome.5B00525 |
0.302 |
|
2015 |
Horvatovich P, Lundberg EK, Chen YJ, Sung TY, He F, Nice EC, Goode RJ, Yu S, Ranganathan S, Baker MS, Domont GB, Velasquez E, Li D, Liu S, Wang Q, ... ... Guan Y, et al. Quest for Missing Proteins: Update 2015 on Chromosome-Centric Human Proteome Project. Journal of Proteome Research. PMID 26076068 DOI: 10.1021/Pr5013009 |
0.308 |
|
2015 |
Li HD, Omenn GS, Guan Y. MIsoMine: a genome-scale high-resolution data portal of expression, function and networks at the splice isoform level in the mouse. Database : the Journal of Biological Databases and Curation. 2015: bav045. PMID 25953081 DOI: 10.1093/Database/Bav045 |
0.508 |
|
2015 |
Zhu F, Shi L, Engel JD, Guan Y. Regulatory network inferred using expression data of small sample size: application and validation in erythroid system. Bioinformatics (Oxford, England). PMID 25840044 DOI: 10.1093/Bioinformatics/Btv186 |
0.366 |
|
2014 |
Li HD, Menon R, Omenn GS, Guan Y. Revisiting the identification of canonical splice isoforms through integration of functional genomics and proteomics evidence. Proteomics. 14: 2709-18. PMID 25265570 DOI: 10.1002/Pmic.201400170 |
0.457 |
|
2014 |
Ma Q, Ozel AB, Ramdas S, McGee B, Khoriaty R, Siemieniak D, Li HD, Guan Y, Brody LC, Mills JL, Molloy AM, Ginsburg D, Li JZ, Desch KC. Genetic variants in PLG, LPA, and SIGLEC 14 as well as smoking contribute to plasma plasminogen levels. Blood. 124: 3155-64. PMID 25208887 DOI: 10.1182/Blood-2014-03-560086 |
0.319 |
|
2014 |
Zhu F, Shi L, Li H, Eksi R, Engel JD, Guan Y. Modeling dynamic functional relationship networks and application to ex vivo human erythroid differentiation. Bioinformatics (Oxford, England). 30: 3325-33. PMID 25115705 DOI: 10.1093/Bioinformatics/Btu542 |
0.472 |
|
2014 |
Li HD, Menon R, Omenn GS, Guan Y. The emerging era of genomic data integration for analyzing splice isoform function. Trends in Genetics : Tig. 30: 340-7. PMID 24951248 DOI: 10.1016/J.Tig.2014.05.005 |
0.498 |
|
2014 |
Zhu F, Guan Y. Predicting dynamic signaling network response under unseen perturbations. Bioinformatics (Oxford, England). 30: 2772-8. PMID 24919880 DOI: 10.1093/Bioinformatics/Btu382 |
0.383 |
|
2014 |
Shi L, Sierant MC, Gurdziel K, Zhu F, Cui S, Kolodziej KE, Strouboulis J, Guan Y, Tanabe O, Lim KC, Engel JD. Biased, non-equivalent gene-proximal and -distal binding motifs of orphan nuclear receptor TR4 in primary human erythroid cells. Plos Genetics. 10: e1004339. PMID 24811540 DOI: 10.1371/Journal.Pgen.1004339 |
0.373 |
|
2014 |
Omenn GS, Guan Y, Menon R. A new class of protein cancer biomarker candidates: differentially expressed splice variants of ERBB2 (HER2/neu) and ERBB1 (EGFR) in breast cancer cell lines. Journal of Proteomics. 107: 103-12. PMID 24802673 DOI: 10.1016/J.Jprot.2014.04.012 |
0.394 |
|
2014 |
Shi L, Lin YH, Sierant MC, Zhu F, Cui S, Guan Y, Sartor MA, Tanabe O, Lim KC, Engel JD. Developmental transcriptome analysis of human erythropoiesis. Human Molecular Genetics. 23: 4528-42. PMID 24781209 DOI: 10.1093/Hmg/Ddu167 |
0.328 |
|
2013 |
Eksi R, Li HD, Menon R, Wen Y, Omenn GS, Kretzler M, Guan Y. Systematically differentiating functions for alternatively spliced isoforms through integrating RNA-seq data. Plos Computational Biology. 9: e1003314. PMID 24244129 DOI: 10.7490/F1000Research.1096456.1 |
0.53 |
|
2013 |
Caudy AA, Guan Y, Jia Y, Hansen C, DeSevo C, Hayes AP, Agee J, Alvarez-Dominguez JR, Arellano H, Barrett D, Bauerle C, Bisaria N, Bradley PH, Breunig JS, Bush E, et al. A new system for comparative functional genomics of Saccharomyces yeasts. Genetics. 195: 275-87. PMID 23852385 DOI: 10.1534/Genetics.113.152918 |
0.772 |
|
2013 |
Park CY, Wong AK, Greene CS, Rowland J, Guan Y, Bongo LA, Burdine RD, Troyanskaya OG. Functional knowledge transfer for high-accuracy prediction of under-studied biological processes. Plos Computational Biology. 9: e1002957. PMID 23516347 DOI: 10.1371/Journal.Pcbi.1002957 |
0.745 |
|
2013 |
Guan Y, Dunham MJ, Troyanskaya OG, Caudy AA. Comparative gene expression between two yeast species. Bmc Genomics. 14: 33. PMID 23324262 DOI: 10.1186/1471-2164-14-33 |
0.62 |
|
2013 |
Park CY, Wong AK, Greene CS, Rowland J, Guan Y, Bongo LA, Burdine RD, Troyanskaya OG. Functional knowledge transfer (FKT) improves prediction accuracy for a wide range of state-of-the-art classification algorithms. Plos Computational Biology. DOI: 10.1371/Journal.Pcbi.1002957.G004 |
0.672 |
|
2012 |
Guan Y, Gorenshteyn D, Burmeister M, Wong AK, Schimenti JC, Handel MA, Bult CJ, Hibbs MA, Troyanskaya OG. Tissue-specific functional networks for prioritizing phenotype and disease genes. Plos Computational Biology. 8: e1002694. PMID 23028291 DOI: 10.1371/Journal.Pcbi.1002694 |
0.782 |
|
2012 |
Wong AK, Park CY, Greene CS, Bongo LA, Guan Y, Troyanskaya OG. IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Research. 40: W484-90. PMID 22684505 DOI: 10.1093/Nar/Gks458 |
0.742 |
|
2011 |
Guan Y, Yao V, Tsui K, Gebbia M, Dunham MJ, Nislow C, Troyanskaya OG. Nucleosome-coupled expression differences in closely-related species. Bmc Genomics. 12: 466. PMID 21942931 DOI: 10.1186/1471-2164-12-466 |
0.578 |
|
2010 |
Guan Y, Ackert-Bicknell CL, Kell B, Troyanskaya OG, Hibbs MA. Functional genomics complements quantitative genetics in identifying disease-gene associations. Plos Computational Biology. 6: e1000991. PMID 21085640 DOI: 10.1371/Journal.Pcbi.1000991 |
0.776 |
|
2010 |
Guan Y, Dunham M, Caudy A, Troyanskaya O. Systematic planning of genome-scale experiments in poorly studied species Plos Computational Biology. 6. PMID 20221257 DOI: 10.1371/Journal.Pcbi.1000698 |
0.626 |
|
2008 |
Guan Y, Myers CL, Lu R, Lemischka IR, Bult CJ, Troyanskaya OG. A genomewide functional network for the laboratory mouse. Plos Computational Biology. 4: e1000165. PMID 18818725 DOI: 10.1371/Journal.Pcbi.1000165 |
0.75 |
|
2008 |
Guan Y, Myers CL, Hess DC, Barutcuoglu Z, Caudy AA, Troyanskaya OG. Predicting gene function in a hierarchical context with an ensemble of classifiers. Genome Biology. 9: S3. PMID 18613947 DOI: 10.1186/Gb-2008-9-S1-S3 |
0.747 |
|
2008 |
Peña-Castillo L, Tasan M, Myers CL, Lee H, Joshi T, Zhang C, Guan Y, Leone M, Pagnani A, Kim WK, Krumpelman C, Tian W, Obozinski G, Qi Y, Mostafavi S, et al. A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. Genome Biology. 9: S2. PMID 18613946 DOI: 10.1186/Gb-2008-9-S1-S2 |
0.744 |
|
2007 |
Guan Y, Dunham MJ, Troyanskaya OG. Functional analysis of gene duplications in Saccharomyces cerevisiae. Genetics. 175: 933-43. PMID 17151249 DOI: 10.1534/Genetics.106.064329 |
0.661 |
|
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