Babak Alipanahi
Babak Alipanahi
Google AI, Genomics
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Cited by
Cited by
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
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), 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
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
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
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
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
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
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
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
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
Are random forests truly the best classifiers?
M Wainberg, B Alipanahi, BJ Frey
The Journal of Machine Learning Research 17 (1), 3837-3841, 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
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
Distance metric learning vs. fisher discriminant analysis
B Alipanahi, M Biggs, A Ghodsi
Proceedings of the 23rd national conference on Artificial intelligence 2 …, 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
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
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
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
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
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