| Oncogenic signaling pathways in the cancer genome atlas F Sanchez-Vega, M Mina, J Armenia, WK Chatila, A Luna, KC La, ... Cell 173 (2), 321-337. e10, 2018 | 2568 | 2018 |
| Opportunities and obstacles for deep learning in biology and medicine T Ching, DS Himmelstein, BK Beaulieu-Jones, AA Kalinin, BT Do, ... Journal of the royal society interface 15 (141), 20170387, 2018 | 2077 | 2018 |
| Genomic and molecular landscape of DNA damage repair deficiency across the cancer genome atlas TA Knijnenburg, L Wang, MT Zimmermann, N Chambwe, GF Gao, ... Cell reports 23 (1), 239-254. e6, 2018 | 940 | 2018 |
| Understanding multicellular function and disease with human tissue-specific networks CS Greene, A Krishnan, AK Wong, E Ricciotti, RA Zelaya, ... Nature Genetics, 2015 | 882 | 2015 |
| Privacy-preserving generative deep neural networks support clinical data sharing BK Beaulieu-Jones, ZS Wu, C Williams, R Lee, SP Bhavnani, JB Byrd, ... Circulation: Cardiovascular Quality and Outcomes 12 (7), e005122, 2019 | 423 | 2019 |
| An expanded evaluation of protein function prediction methods shows an improvement in accuracy Y Jiang, T Ronnen Oron, WT Clark, AR Bankapur, D D'Andrea, R Lepore, ... Genome Biology 17 (184), 2016 | 418 | 2016 |
| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20, 1-23, 2019 | 371 | 2019 |
| Transparency and reproducibility in artificial intelligence B Haibe-Kains, GA Adam, A Hosny, F Khodakarami, ... Nature 586 (7829), E14-E16, 2020 | 357 | 2020 |
| International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways HJ Cordell, Y Han, GF Mells, Y Li, GM Hirschfield, CS Greene, G Xie, ... Nature communications 6 (1), 8019, 2015 | 315 | 2015 |
| Failure to replicate a genetic association may provide important clues about genetic architecture CS Greene, NM Penrod, SM Williams, JH Moore PloS one 4 (6), e5639, 2009 | 287 | 2009 |
| Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders GP Way, CS Greene Pacific Symposium on Biocomputing, 174474, 2017 | 280 | 2017 |
| Sci-Hub provides access to nearly all scholarly literature DS Himmelstein, AR Romero, JG Levernier, TA Munro, SR McLaughlin, ... ELife 7, e32822, 2018 | 256 | 2018 |
| Big Data Bioinformatics CS Greene, J Tan, M Ung, JH Moore, C Cheng Journal of Cellular Physiology, 2014 | 253 | 2014 |
| Defining cell-type specificity at the transcriptional level in human disease W Ju, CS Greene, F Eichinger, V Nair, JB Hodgin, M Bitzer, Y Lee, Q Zhu, ... Genome research 23 (11), 1862-1873, 2013 | 243 | 2013 |
| Enter the matrix: factorization uncovers knowledge from omics GL Stein-O’Brien, R Arora, AC Culhane, AV Favorov, LX Garmire, ... Trends in Genetics 34 (10), 790-805, 2018 | 229 | 2018 |
| Constructing knowledge graphs and their biomedical applications DN Nicholson, CS Greene Computational and structural biotechnology journal 18, 1414-1428, 2020 | 209 | 2020 |
| Semi-supervised learning of the electronic health record for phenotype stratification BK Beaulieu-Jones, CS Greene Journal of biomedical informatics 64, 168-178, 2016 | 203 | 2016 |
| Recent advances and emerging applications in text and data mining for biomedical discovery GH Gonzalez, T Tahsin, BC Goodale, AC Greene, CS Greene Briefings in bioinformatics 17 (1), 33-42, 2016 | 194 | 2016 |
| Characterizing long COVID: deep phenotype of a complex condition RR Deer, MA Rock, N Vasilevsky, L Carmody, H Rando, AJ Anzalone, ... EBioMedicine 74, 2021 | 180 | 2021 |
| UNSUPERVISED FEATURE CONSTRUCTION AND KNOWLEDGE EXTRACTION FROM GENOME-WIDE ASSAYS OF BREAST CANCER WITH DENOISING AUTOENCODERS JIE TAN, M UNG, C CHENG, CS GREENE Pacific Symposium on Biocomputing, 2015 | 177 | 2015 |
Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA在 csmc.edu 的电子邮件经过验证
