David A. Knowles

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Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Jonathan K PritchardStanford UniversityVerified email at stanford.edu
Stephen B MontgomeryAssociate Professor, Pathology and Genetics, Stanford UniversityVerified email at stanford.edu
Tim D SpectorGuys and St Thomas Hospital NHS Trust, Kings College LondonVerified email at kcl.ac.uk
David GolanStatistics PhD student, Tel Aviv University.Verified email at post.tau.ac.il
Konstantina PallaMicrosoft Research Cambridge, UKVerified email at microsoft.com
Yang I LiUniversity of ChicagoVerified email at uchicago.edu
Hae Kyung ImAssistant Professor, The University of ChicagoVerified email at uchicago.edu
Yoav GiladUniversity of ChicagoVerified email at uchicago.edu
Tom MinkaPrincipal Researcher, Microsoft Research, Cambridge UKVerified email at microsoft.com
Åsa K HedmanPfizer | Karolinska InstituteVerified email at ki.se
Mark McCarthyGenentechVerified email at drl.ox.ac.uk
Elin GrundbergChildren's Mercy Kansas CityVerified email at cmh.edu
Anshul KundajeAssistant Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityVerified email at stanford.edu
Alexis BattleAssociate Professor, Biomedical Engineering, Johns Hopkins UniversityVerified email at cs.jhu.edu
Leopold PartsFaculty at Wellcome Sanger Institute; Senior Researcher (part-time) at University of TartuVerified email at sanger.ac.uk
Anil RajPrincipal Data Scientist, Calico LabsVerified email at calicolabs.com
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeVerified email at microsoft.com
Roger FooProfessor, National University of SingaporeVerified email at nus.edu.sg
Kimberly KukurbaStanford UniversityVerified email at alumni.stanford.edu

David A. Knowles

Columbia University & New York Genome Center

Verified email at columbia.edu - Homepage

Machine learning Computational genomics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	759	2012
A community effort to assess and improve drug sensitivity prediction algorithms JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ... Nature biotechnology 32 (12), 1202-1212, 2014	526	2014
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	383	2016
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	324	2019
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	316	2013
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	296	2017
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	238	2018
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), 1-15, 2017	221	2017
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	221	2011
Infer.NET 2.4 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010	221*	2010
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 (7), 1-12, 2013	200	2013
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	187	2019
Fixed-form variational posterior approximation through stochastic linear regression T Salimans, DA Knowles Bayesian Analysis 8 (4), 837-882, 2013	187	2013
Infer.NET 2.5 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012	184*	2012
Infinite sparse factor analysis and infinite independent components analysis D Knowles, Z Ghahramani International Conference on Independent Component Analysis and Signal …, 2007	150	2007
Nonparametric Bayesian sparse factor models with application to gene expression modeling D Knowles, Z Ghahramani Annals of Applied Statistics 5 (2B), 1534-1552, 2011	137	2011
Gaussian Process Regression Networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011	131	2011
An infinite latent attribute model for network data K Palla, D Knowles, Z Ghahramani Proceedings of the 30th International Conference on Machine Learning, 2012	126	2012
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), 1-11, 2014	120	2014
Non-conjugate Variational Message Passing for Multinomial and Binary Regression DA Knowles, TP Minka Advances in Neural Information Processing Systems, 2011	116	2011

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