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
Yang I LiUniversity of ChicagoAdresse e-mail validée de uchicago.edu
Hae Kyung ImAssistant Professor, The University of ChicagoAdresse e-mail validée de uchicago.edu
Alvaro BarbeiraThe University of ChicagoAdresse e-mail validée de uchicago.edu
Konstantina PallaMSRAdresse e-mail validée de microsoft.com
Yoav GiladUniversity of ChicagoAdresse e-mail validée de uchicago.edu
Tim D SpectorGuys and St Thomas Hospital NHS Trust, Kings College LondonAdresse e-mail validée de kcl.ac.uk
Anshul KundajeAssistant Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Tom MinkaPrincipal Researcher, Microsoft Research, Cambridge UKAdresse e-mail validée de microsoft.com
Thomas QuertermousProfessor of Medicine, Stanford UniversityAdresse e-mail validée de stanford.edu
Xin LiStanford UniversityAdresse e-mail validée de stanford.edu
Alexis BattleAssociate Professor, Biomedical Engineering, Johns Hopkins UniversityAdresse e-mail validée de cs.jhu.edu
Nasa Sinnott-ArmstrongStanford UniversityAdresse e-mail validée de stanford.edu
Michael WainbergCentre for Addiction and Mental Health; previously Stanford University and ISBAdresse e-mail validée de stanford.edu
Arno RuusaleppTartu University HospitalAdresse e-mail validée de kliinikum.ee
Ke HaoIcahn School of Medicine at Mount SinaiAdresse e-mail validée de mssm.edu
Jack HumphreyPostdoctoral Fellow, Mount Sinai School of MedicineAdresse e-mail validée de mssm.edu

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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	806	2012
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	650	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	454	2016
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	359	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	344	2013
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	338	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	337	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	276	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	245	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 (7), 1-12, 2013	235	2013
Infer.NET 2.4 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010	221*	2010
Fixed-form variational posterior approximation through stochastic linear regression T Salimans, DA Knowles Bayesian Analysis 8 (4), 837-882, 2013	213	2013
Infer.NET 2.5 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012	187*	2012
Infinite sparse factor analysis and infinite independent components analysis D Knowles, Z Ghahramani International Conference on Independent Component Analysis and Signal …, 2007	155	2007
Gaussian Process Regression Networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011	150	2011
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	148	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	130	2014
Non-conjugate Variational Message Passing for Multinomial and Binary Regression DA Knowles, TP Minka Advances in Neural Information Processing Systems, 2011	129	2011
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	123	2019
An infinite latent attribute model for network data K Palla, D Knowles, Z Ghahramani Proceedings of the 30th International Conference on Machine Learning, 2012	122	2012

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