Babak Alipanahi - Google Scholar Citations

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	All	Since 2015
Citations	3591	3350
h-index	19	17
i10-index	26	23

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Co-authors

Brendan FreyFounder & CEO, Deep Genomics; Co-Founder, Vector Institute; Professor, University of TorontoVerified email at psi.toronto.edu
Benjamin J. BlencoweProfessor, University of TorontoVerified email at utoronto.ca
Andrew DelongAssistant Professor, Concordia UniversityVerified email at concordia.ca
Daniele MericoDeep Genomics Inc.Verified email at deepgenomics.com
Scherer, Stephen W.The Hospital for Sick Children, Peter Gilgan Centre for Research and Learning (PGCRL), 686 Bay StVerified email at sickkids.ca
Ryan K.C. YuenScientist, Hospital for Sick ChildrenVerified email at sickkids.ca
Ming LiUniversity Professor, University of WaterlooVerified email at uwaterloo.ca
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
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
Matthew T. WeirauchAssociate Professor, Cincinnati Children's HospitalVerified email at cchmc.org
Hamed S. NajafabadiAssistant 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
Nebojsa JojicMicrosoft ResearchVerified email at microsoft.com

Babak Alipanahi

Google AI, Genomics

Verified email at google.com

Computational Biology Machine Learning


Title	Cited by	Year
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	1139	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	731	2015
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	337	2014
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	236	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	153	2016
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	121	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	118	2016
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, 2014	115	2014
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	72	2009
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	70	2017
Are random forests truly the best classifiers? M Wainberg, B Alipanahi, BJ Frey The Journal of Machine Learning Research 17 (1), 3837-3841, 2016	69	2016
Distance metric learning vs. Fisher discriminant analysis B Alipanahi, M Biggs, A Ghodsi Proceedings of the 23rd national conference on Artificial intelligence 2 …, 2008	62	2008
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	61	2018
Whole-genome sequencing suggests schizophrenia risk mechanisms in humans with 22q11. 2 deletion syndrome D Merico, M Zarrei, G Costain, L Ogura, B Alipanahi, MJ Gazzellone, ... G3: Genes, Genomes, Genetics 5 (11), 2453-2461, 2015	36	2015
Determining protein structures from NOESY distance constraints by semidefinite programming B Alipanahi, N Krislock, A Ghodsi, H Wolkowicz, L Donaldson, M Li Journal of Computational Biology 20 (4), 296-310, 2013	34	2013
Error tolerant NMR backbone resonance assignment and automated structure generation B Alipanahi, X Gao, E Karakoc, SC Li, F Balbach, G Feng, L Donaldson, ... Journal of bioinformatics and computational biology 9 (01), 15-41, 2011	27	2011
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	24	2018
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	20	2019
Network cleanup B Alipanahi, BJ Frey Nature biotechnology 31 (8), 714-715, 2013	20	2013
Guided locally linear embedding B Alipanahi, A Ghodsi Pattern recognition letters 32 (7), 1029-1035, 2011	19	2011

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