| The sequence and analysis of duplication-rich human chromosome 16 J Martin, et al Nature 432, 988-94, 2004 | 202 | 2004 |
| Automated ligand fitting by core-fragment fitting and extension into density TC Terwilliger, H Klei, PD Adams, NW Moriarty, JD Cohn Acta Crytallogr D Biol Crytallogr 62 (8), 915-922, 2006 | 150 | 2006 |
| Predicting tumor cell line response to drug pairs with deep learning F Xia, M Shukla, T Brettin, C Garcia-Cardona, J Cohn, JE Allen, S Maslov, ... BMC bioinformatics 19, 71-79, 2018 | 140 | 2018 |
| A categorization approach to automated ontological function annotation K Verspoor, J Cohn, S Mniszewski, C Joslyn Protein Science 15, 1544-1549, 2006 | 96 | 2006 |
| Ligand identification using electron-density map correlations TC Terwilliger, PD Adams, NW Moriarty, JD Cohn Acta Crystallogr D Biol Crystallogr 63 (1), 101-107, 2007 | 86 | 2007 |
| A cross-study analysis of drug response prediction in cancer cell lines F Xia, J Allen, P Balaprakash, T Brettin, C Garcia-Cardona, A Clyde, ... Briefings in bioinformatics 23 (1), bbab356, 2022 | 73 | 2022 |
| Literature mining of protein-residue associations with graph rules learned through distant supervision KE Ravikumar, H Liu, JD Cohn, ME Wall, K Verspoor Journal of Biomedical Semantics 3 (Suppl 3), S2, 2012 | 51 | 2012 |
| Protein annotation as term categorization in the Gene Ontology using word proximity networks K Verspoor, J Cohn, C Joslyn, S Mniszewski, A Rechsteiner, LM Rocha, ... BMC Bioinformatics 6 (Suppl 1), 2005 | 51 | 2005 |
| Fast dynamics perturbation analysis for prediction of protein functional sites D Ming, JD Cohn, ME Wall BMC Structural Biology 8, 5, 2008 | 42 | 2008 |
| Text mining improves prediction of protein functional sites V Karin M., JD Cohn, R Komandur E., W Michael E. PLoS One 7 (2), e32171, 2012 | 38* | 2012 |
| Rapid phylogenetic and functional classification of short genomic fragments with signature peptides J Berendzen, WJ Bruno, JD Cohn, NW Hengartner, CR Kuske, ... BMC Research Notes 5, 460, 2012 | 37 | 2012 |
| Identification of novel, replicable genetic risk loci for suicidal thoughts and behaviors among US military veterans NA Kimbrel, AE Ashley-Koch, XJ Qin, JH Lindquist, ME Garrett, ... JAMA psychiatry 80 (2), 135-145, 2023 | 28 | 2023 |
| Sparse coding of pathology slides compared to transfer learning with deep neural networks W Fischer, SS Moudgalya, JD Cohn, NTT Nguyen, GT Kenyon BMC bioinformatics 19, 9-17, 2018 | 20 | 2018 |
| Genome majority vote improves gene predictions ME Wall, S Raghavan, JD Cohn, J Dunbar PLos Computational Biology 7 (11), e1002284, 2011 | 18 | 2011 |
| California condor microbiomes: bacterial variety and functional properties in captive-bred individuals L Jacobs, BH McMahon, J Berendzen, J Longmire, C Gleasner, ... PLoS One 14 (12), e0225858, 2019 | 16 | 2019 |
| Consistency of gene starts among Burkholderia genomes J Dunbar, JD Cohn, ME Wall BMC Genomics 12, 125, 2011 | 13 | 2011 |
| High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning S Dhaubhadel, K Ganguly, RM Ribeiro, JD Cohn, JM Hyman, ... Scientific reports 14 (1), 1793, 2024 | 10 | 2024 |
| Detection of protein catalytic sites in the biomedical literature V Karin, M Andrew., C Judith D., W Michael E. Pacific Symposium on Biocomputing 2013, 433-444, 2013 | 9* | 2013 |
| Pattern learning through distant supervision for extraction of protein-residue associations in the biomedical literature KE Ravikumar, H Liu, JD Cohn, ME Wall, V K. International Conference on Machine Learning and Applications, 2011 | 7 | 2011 |
| Deep sequential neural network models improve stratification of suicide attempt risk among US veterans C Martinez, D Levin, J Jones, PD Finley, B McMahon, S Dhaubhadel, ... Journal of the American Medical Informatics Association 31 (1), 220-230, 2024 | 6 | 2024 |
