Babak Alipanahi

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Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoVerified email at psi.toronto.edu
Andrew DelongAssistant Professor, Concordia UniversityVerified email at concordia.ca
Benjamin J. BlencoweProfessor, University of TorontoVerified email at utoronto.ca
Daniele MericoDeep Genomics Inc.Verified email at deepgenomics.com
Hannes BretschneiderDonnelly Centre and Department of Molecular Genetics, University of TorontoVerified email at utoronto.ca
Hui Yuan XiongRenaissance TechnologiesVerified email at psi.toronto.edu
Leo J. LeeSenior Research Scientist, University of TorontoVerified email at psi.toronto.edu
Scherer, Stephen W.The Hospital for Sick Children, Genetics and Genome Biology Program, University of TorontoVerified email at sickkids.ca
Ryan K.C. YuenScientist, Hospital for Sick ChildrenVerified email at sickkids.ca
Matthew T. WeirauchAssociate Professor, Cincinnati Children's HospitalVerified email at cchmc.org
Ming LiUniversity Professor, University of WaterlooVerified email at uwaterloo.ca
Ali GhodsiProfessor of Statistics and Computer Science, University of WaterlooVerified email at uwaterloo.ca
Logan DonaldsonProfessor of Biology, York UniversityVerified email at yorku.ca
Manuel IrimiaCentre for Genomic RegulationVerified email at crg.eu
Nuno Barbosa-MoraisResearch Group Leader, Instituto de Medicina Molecular - LisbonVerified email at medicina.ulisboa.pt
Michael K.K. LeungPhD, University of TorontoVerified email at mail.utoronto.ca
Hamed S. NajafabadiAssociate Professor at McGill UniversityVerified email at mcgill.ca
Timothy R. HughesUniversity of TorontoVerified email at utoronto.ca
Quaid MorrisComputational and Systems Biology Program, Memorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Serge GueroussovPostdoctoral associate, Broad InstituteVerified email at broadinstitute.org

Babak Alipanahi

Exai Bio

Verified email at exai.bio - Homepage

Computational Biology Machine Learning


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Predicting the sequence specificities of DNA-and RNA-binding proteins by deep learning B Alipanahi, A Delong, MT Weirauch, BJ Frey Nature biotechnology 33 (8), 831-838, 2015	2228	2015
The human splicing code reveals new insights into the genetic determinants of disease HY Xiong, B Alipanahi, LJ Lee, H Bretschneider, D Merico, RKC Yuen, ... Science 347 (6218), 1254806, 2015	1150	2015
Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies MA Nalls, C Blauwendraat, CL Vallerga, K Heilbron, S Bandres-Ciga, ... The Lancet Neurology 18 (12), 1091-1102, 2019	747	2019
Widespread intron retention in mammals functionally tunes transcriptomes U Braunschweig, NL Barbosa-Morais, Q Pan, EN Nachman, B Alipanahi, ... Genome research 24 (11), 1774-1786, 2014	559	2014
Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences R Karlsson Linnér, P Biroli, E Kong, SFW Meddens, R Wedow, ... Nature genetics 51 (2), 245-257, 2019	368	2019
An atlas of genetic influences on osteoporosis in humans and mice JA Morris, JP Kemp, SE Youlten, L Laurent, JG Logan, RC Chai, ... Nature genetics 51 (2), 258-266, 2019	363	2019
MBNL proteins repress ES-cell-specific alternative splicing and reprogramming H Han, M Irimia, PJ Ross, HK Sung, B Alipanahi, L David, A Golipour, ... Nature 498 (7453), 241-245, 2013	310	2013
Whole-genome sequencing expands diagnostic utility and improves clinical management in paediatric medicine DJ Stavropoulos, D Merico, R Jobling, S Bowdin, N Monfared, ... NPJ genomic medicine 1 (1), 1-9, 2016	297	2016
Underspecification presents challenges for credibility in modern machine learning A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ... arXiv preprint arXiv:2011.03395, 2020	293	2020
Machine learning in genomic medicine: a review of computational problems and data sets MKK Leung, A Delong, B Alipanahi, BJ Frey Proceedings of the IEEE 104 (1), 176-197, 2015	241	2015
Genome-wide characteristics of de novo mutations in autism RKC Yuen, D Merico, H Cao, G Pellecchia, B Alipanahi, ... NPJ genomic medicine 1 (1), 1-10, 2016	197	2016
Identification of novel risk loci for restless legs syndrome in genome-wide association studies in individuals of European ancestry: a meta-analysis B Schormair, C Zhao, S Bell, E Tilch, AV Salminen, B Pütz, Y Dauvilliers, ... The Lancet Neurology 16 (11), 898-907, 2017	161	2017
Brain-expressed exons under purifying selection are enriched for de novo mutations in autism spectrum disorder M Uddin, K Tammimies, G Pellecchia, B Alipanahi, P Hu, Z Wang, D Pinto, ... Nature genetics 46 (7), 742-747, 2014	158	2014
Are random forests truly the best classifiers? M Wainberg, B Alipanahi, BJ Frey The Journal of Machine Learning Research 17 (1), 3837-3841, 2016	142	2016
A genetic investigation of sex bias in the prevalence of attention-deficit/hyperactivity disorder J Martin, RK Walters, D Demontis, M Mattheisen, SH Lee, E Robinson, ... Biological psychiatry 83 (12), 1044-1053, 2018	129	2018
PICKY: a novel SVD-based NMR spectra peak picking method B Alipanahi, X Gao, E Karakoc, L Donaldson, M Li Bioinformatics 25 (12), i268-i275, 2009	77	2009
Distance metric learning vs. fisher discriminant analysis B Alipanahi, M Biggs, A Ghodsi Proceedings of the 23rd national conference on Artificial intelligence 2 …, 2008	75	2008
Common variant burden contributes to the familial aggregation of migraine in 1,589 families P Gormley, MI Kurki, ME Hiekkala, K Veerapen, P Häppölä, AA Mitchell, ... Neuron 98 (4), 743-753. e4, 2018	67	2018
The effect of LRRK2 loss-of-function variants in humans N Whiffin, IM Armean, A Kleinman, JL Marshall, EV Minikel, JK Goodrich, ... Nature medicine 26 (6), 869-877, 2020	56	2020
Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network B Frey, MKK Leung, AT Delong, HY Xiong, B Alipanahi, LJ Lee, ... US Patent 10,185,803, 2019	56	2019

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