David A. Knowles

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

David A. Knowles

Columbia University & New York Genome Center

Adresse e-mail validée de columbia.edu - Page d'accueil

Machine learning Computational genomics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	766	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	548	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	409	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	405	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	322	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	310	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	260	2018
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	232	2019
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	232	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	226	2011
Infer.NET 2.4 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010	220*	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	207	2013
Fixed-form variational posterior approximation through stochastic linear regression T Salimans, DA Knowles Bayesian Analysis 8 (4), 837-882, 2013	195	2013
Infer.NET 2.5 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012	185*	2012
Infinite sparse factor analysis and infinite independent components analysis D Knowles, Z Ghahramani International Conference on Independent Component Analysis and Signal …, 2007	154	2007
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	139	2011
Gaussian Process Regression Networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011	135	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	128	2012
Non-conjugate Variational Message Passing for Multinomial and Binary Regression DA Knowles, TP Minka Advances in Neural Information Processing Systems, 2011	123	2011
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	119	2014

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