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
Hae Kyung ImAssistant Professor, The University of ChicagoAdresse e-mail validée de uchicago.edu
Yang I LiUniversity of ChicagoAdresse e-mail validée de uchicago.edu
Alvaro BarbeiraThe University of ChicagoAdresse e-mail validée de uchicago.edu
Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Yoav GiladUniversity of ChicagoAdresse e-mail validée de uchicago.edu
Konstantina PallaMSRAdresse e-mail validée de microsoft.com
Thomas QuertermousProfessor of Medicine, Stanford UniversityAdresse e-mail validée de stanford.edu
Jack HumphreyInstructor, Mount Sinai School of MedicineAdresse e-mail validée de mssm.edu
Tim D SpectorGuys and St Thomas Hospital NHS Trust, Kings College LondonAdresse e-mail validée de kcl.ac.uk
Xin LiShanghai Institute of Nutrition and Health, Chinese Academy of Sciences (CAS)Adresse e-mail validée de sinh.ac.cn
Tom MinkaPrincipal Researcher, Microsoft Research, Cambridge UKAdresse e-mail validée de microsoft.com
Alexis BattleAssociate Professor, Biomedical Engineering, CS, Genetic Medicine at JHUAdresse e-mail validée de jhu.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
Anil RajPrincipal Data Scientist, Calico LabsAdresse e-mail validée de calicolabs.com
Leopold PartsFaculty at Wellcome Sanger Institute; Senior Researcher (part-time) at University of TartuAdresse e-mail validée de sanger.ac.uk

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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 RNA splicing


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1048	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	854	2012
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	548	2016
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	527	2019
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	474	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	447	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	365	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	312	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	274	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	269	2013
Fixed-form variational posterior approximation through stochastic linear regression T Salimans, DA Knowles Bayesian Analysis 8 (4), 837-882, 2013	241	2013
Infer.NET 2.4 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010	225*	2010
Molecular choreography of acute exercise K Contrepois, S Wu, KJ Moneghetti, D Hornburg, S Ahadi, MS Tsai, ... Cell 181 (5), 1112-1130. e16, 2020	216	2020
Infer.NET 2.5 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012	191*	2012
Gaussian Process Regression Networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011	190	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	172	2019
Infinite sparse factor analysis and infinite independent components analysis D Knowles, Z Ghahramani Independent Component Analysis and Signal Separation: 7th International …, 2007	166	2007
Nonparametric Bayesian sparse factor models with application to gene expression modeling D Knowles, Z Ghahramani	159	2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression DA Knowles, TP Minka Advances in Neural Information Processing Systems, 2011	144	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), 2978, 2014	143	2014

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