David A. Knowles - Google Scholar Citations

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	All	Since 2014
Citations	4065	3649
h-index	29	28
i10-index	41	40

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Zoubin GhahramaniProfessor, University of Cambridge, and Chief Scientist, UberVerified 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
Konstantina PallaMicrosoft Research Cambridge, UKVerified email at microsoft.com
David GolanStatistics PhD student, Tel Aviv University.Verified email at post.tau.ac.il
Tom MinkaPrincipal Researcher, Microsoft Research, Cambridge UKVerified email at microsoft.com
Yang I LiUniversity of ChicagoVerified email at uchicago.edu
Yoav GiladUniversity of ChicagoVerified email at uchicago.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
Tim D SpectorSt Thomas Hospital, Kings College LondonVerified email at kcl.ac.uk
Hae Kyung ImAssistant Professor, The University of ChicagoVerified email at uchicago.edu
Roger FooProfessor, National University of SingaporeVerified email at nus.edu.sg
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeVerified email at microsoft.com
Anil RajPrincipal Data Scientist, Calico LabsVerified email at calicolabs.com
Kimberly KukurbaStanford UniversityVerified email at alumni.stanford.edu
Anshul KundajeAssistant Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityVerified email at stanford.edu
Richard DurbinDept of Genetics, University of CambridgeVerified email at cam.ac.uk
Kerrin SmallReader (Associate Professor), King's College LondonVerified email at kcl.ac.uk
Åsa K HedmanPfizer | Karolinska InstituteVerified email at ki.se

David A. Knowles

Columbia University & New York Genome Center

Verified email at columbia.edu - Homepage

Machine learning Computational genomics


Title	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, 2012	649	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, 2014	355	2014
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	258	2013
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	253	2016
Infer.NET 2.4 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010	201*	2010
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	196	2011
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, 2017	183	2017
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), R75, 2013	155	2013
Infer.NET 2.5 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012	147*	2012
Fixed-form variational posterior approximation through stochastic linear regression T Salimans, DA Knowles Bayesian Analysis 8 (4), 837-882, 2013	141	2013
Infinite sparse factor analysis and infinite independent components analysis D Knowles, Z Ghahramani International Conference on Independent Component Analysis and Signal …, 2007	133	2007
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, 39921, 2017	125	2017
Nonparametric Bayesian sparse factor models with application to gene expression modeling D Knowles, Z Ghahramani The Annals of Applied Statistics 5 (2B), 1534-1552, 2011	120	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	104	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, 2978, 2014	103	2014
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, 2018	95	2018
Gaussian Process Regression Networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011	94	2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression DA Knowles, TP Minka Advances in Neural Information Processing Systems, 2011	93	2011
No correlation between childhood maltreatment and telomere length D Glass, L Parts, D Knowles, A Aviv, TD Spector Biological psychiatry 68 (6), e21-e22, 2010	79	2010
Characterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variants F Allum, X Shao, F Guénard, MM Simon, S Busche, M Caron, ... Nature communications 6, 7211, 2015	60	2015

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