| Predicting splicing from primary sequence with deep learning K Jaganathan, SK Panagiotopoulou, JF McRae, SF Darbandi, D Knowles, ... Cell 176 (3), 535-548. e24, 2019 | 1962 | 2019 |
| Mapping cis- and trans-regulatory effects across multiple tissues in twins E Grundberg, KS Small, ÅK Hedman, AC Nica, A Buil, S Keildson, JT Bell, ... Nature genetics 44 (10), 1084-1089, 2012 | 900 | 2012 |
| Opportunities and challenges for transcriptome-wide association studies M Wainberg, N Sinnott-Armstrong, N Mancuso, AN Barbeira, DA Knowles, ... Nature genetics 51 (4), 592-599, 2019 | 800 | 2019 |
| RNA splicing is a primary link between genetic variation and disease YI Li, B Van De Geijn, A Raj, DA Knowles, AA Petti, D Golan, Y Gilad, ... Science 352 (6285), 600-604, 2016 | 679 | 2016 |
| Annotation-free quantification of RNA splicing using LeafCutter YI Li, DA Knowles, J Humphrey, AN Barbeira, SP Dickinson, HK Im, ... Nature genetics 50 (1), 151-158, 2018 | 671 | 2018 |
| Therapeutic reduction of ataxin-2 extends lifespan and reduces pathology in TDP-43 mice LA Becker, B Huang, G Bieri, R Ma, DA Knowles, P Jafar-Nejad, ... Nature 544 (7650), 367-371, 2017 | 570 | 2017 |
| Global analysis of DNA methylation variation in adipose tissue from twins reveals links to disease-associated variants in distal regulatory elements E Grundberg, E Meduri, JK Sandling, ÅK Hedman, S Keildson, A Buil, ... The American Journal of Human Genetics 93 (5), 876-890, 2013 | 396 | 2013 |
| Batch effects and the effective design of single-cell gene expression studies PY Tung, JD Blischak, CJ Hsiao, DA Knowles, JE Burnett, JK Pritchard, ... Scientific reports 7 (1), 39921, 2017 | 365 | 2017 |
| Molecular choreography of acute exercise K Contrepois, S Wu, KJ Moneghetti, D Hornburg, S Ahadi, MS Tsai, ... Cell 181 (5), 1112-1130. e16, 2020 | 358 | 2020 |
| Distinct epigenomic features in end-stage failing human hearts M Movassagh, MK Choy, DA Knowles, L Cordeddu, S Haider, T Down, ... Circulation 124 (22), 2411-2422, 2011 | 316 | 2011 |
| Gene expression changes with age in skin, adipose tissue, blood and brain D Glass, A Viñuela, MN Davies, A Ramasamy, L Parts, D Knowles, ... Genome biology 14, 1-12, 2013 | 312 | 2013 |
| Fixed-form variational posterior approximation through stochastic linear regression T Salimans, DA Knowles Bayesian Analysis 8 (4), 837-882, 2013 | 272 | 2013 |
| Landscape of stimulation-responsive chromatin across diverse human immune cells D Calderon, MLT Nguyen, A Mezger, A Kathiria, F Müller, V Nguyen, ... Nature genetics 51 (10), 1494-1505, 2019 | 254 | 2019 |
| Gaussian Process Regression Networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011 | 246 | 2011 |
| Distinct classes of complex structural variation uncovered across thousands of cancer genome graphs K Hadi, X Yao, JM Behr, A Deshpande, C Xanthopoulakis, H Tian, ... Cell 183 (1), 197-210. e32, 2020 | 207 | 2020 |
| Infer.NET 2.4 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010 | 205* | 2010 |
| Nonparametric Bayesian sparse factor models with application to gene expression modeling D Knowles, Z Ghahramani | 184 | 2011 |
| Infer.NET 2.5 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012 | 178* | 2012 |
| Infinite sparse factor analysis and infinite independent components analysis D Knowles, Z Ghahramani International conference on independent component analysis and signal …, 2007 | 176 | 2007 |
| Differential methylation of the TRPA1 promoter in pain sensitivity JT Bell, AK Loomis, LM Butcher, F Gao, B Zhang, CL Hyde, J Sun, H Wu, ... Nature communications 5 (1), 2978, 2014 | 164 | 2014 |
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, Googleeng.cam.ac.uk의 이메일 확인됨
