David A. Knowles

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Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleEmail verificata su eng.cam.ac.uk
Jonathan K PritchardStanford UniversityEmail verificata su stanford.edu
David GolanStatistics PhD student, Tel Aviv University.Email verificata su post.tau.ac.il
Hae Kyung ImAssociate Professor, The University of ChicagoEmail verificata su uchicago.edu
Stephen B MontgomeryProfessor, Pathology, Genetics and Biomedical Data Science, Stanford UniversityEmail verificata su stanford.edu
Yang I LiUniversity of ChicagoEmail verificata su uchicago.edu
Alvaro BarbeiraThe University of ChicagoEmail verificata su uchicago.edu
Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityEmail verificata su stanford.edu
Thomas QuertermousProfessor of Medicine, Stanford UniversityEmail verificata su stanford.edu
Tom MinkaSenior Principal Researcher, Microsoft Research, Cambridge UKEmail verificata su microsoft.com
Jack HumphreyInstructor, Mount Sinai School of MedicineEmail verificata su mssm.edu
Yoav GiladUniversity of ChicagoEmail verificata su uchicago.edu
Konstantina PallaSpotifyEmail verificata su spotify.com
Arno RuusaleppTartu University HospitalEmail verificata su kliinikum.ee
Ke HaoIcahn School of Medicine at Mount SinaiEmail verificata su mssm.edu
Alexis BattleProfessor, Biomedical Engineering, CS, Genetic Medicine at JHUEmail verificata su jhu.edu
Tim D SpectorGuys and St Thomas Hospital NHS Trust, Kings College LondonEmail verificata su kcl.ac.uk
John WinnPrincipal Researcher, Machine Learning Group, Microsoft Research CambridgeEmail verificata su microsoft.com
Anil RajPrincipal Data Scientist, Calico LabsEmail verificata su calicolabs.com
Nasa Sinnott-ArmstrongFred Hutchinson Cancer CenterEmail verificata su fredhutch.org

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David A. Knowles

Columbia University & New York Genome Center

Email verificata su columbia.edu - Home page

Machine learning Computational genomics RNA splicing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	1853	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	892	2012
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	771	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	671	2016
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	653	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	563	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	392	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	359	2017
Molecular choreography of acute exercise K Contrepois, S Wu, KJ Moneghetti, D Hornburg, S Ahadi, MS Tsai, ... Cell 181 (5), 1112-1130. e16, 2020	342	2020
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	310	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, 1-12, 2013	309	2013
Fixed-form variational posterior approximation through stochastic linear regression T Salimans, DA Knowles Bayesian Analysis 8 (4), 837-882, 2013	270	2013
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	247	2019
Gaussian Process Regression Networks AG Wilson, DA Knowles, Z Ghahramani Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011	239	2011
Infer.NET 2.4 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010	205*	2010
Distinct classes of complex structural variation uncovered across thousands of cancer genome graphs K Hadi, X Yao, JM Behr, A Deshpande, C Xanthopoulakis, H Tian, ... Cell 183 (1), 197-210. e32, 2020	199	2020
Nonparametric Bayesian sparse factor models with application to gene expression modeling D Knowles, Z Ghahramani	183	2011
Infer.NET 2.5 T Minka, J Winn, J Guiver, D Knowles Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012	178*	2012
Infinite sparse factor analysis and infinite independent components analysis D Knowles, Z Ghahramani International conference on independent component analysis and signal …, 2007	174	2007
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	163	2014

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