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David A. Knowles
David A. Knowles
Columbia University & New York Genome Center
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
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
14022019
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
8662012
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
6472019
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
6212016
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
5662018
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
5072017
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
3742013
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
3352017
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
2972013
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
2922011
Molecular choreography of acute exercise
K Contrepois, S Wu, KJ Moneghetti, D Hornburg, S Ahadi, MS Tsai, ...
Cell 181 (5), 1112-1130. e16, 2020
2912020
Fixed-form variational posterior approximation through stochastic linear regression
T Salimans, DA Knowles
Bayesian Analysis 8 (4), 837-882, 2013
2602013
Infer.NET 2.4
T Minka, J Winn, J Guiver, D Knowles
Microsoft Research Cambridge http://research.microsoft.com/infernet, 2010
218*2010
Gaussian Process Regression Networks
AG Wilson, DA Knowles, Z Ghahramani
Proceedings of the 29th International Conference on Machine Learning (ICML 2011), 2011
2152011
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
2042019
Infer.NET 2.5
T Minka, J Winn, J Guiver, D Knowles
Microsoft Research Cambridge http://research.microsoft.com/infernet, 2012
184*2012
Nonparametric Bayesian sparse factor models with application to gene expression modeling
D Knowles, Z Ghahramani
1762011
Infinite sparse factor analysis and infinite independent components analysis
D Knowles, Z Ghahramani
International Conference on Independent Component Analysis and Signal …, 2007
1722007
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
1572020
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
1552014
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