Babak Alipanahi
Babak Alipanahi
23andMe, Inc.
Verified email at 23andme.com
TitleCited byYear
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, 2015
9292015
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
6312015
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
2962014
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, 2013
2232013
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, 15012, 2016
1292016
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
1112014
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
992015
Genome-wide characteristics of de novo mutations in autism
RKC Yuen, D Merico, H Cao, G Pellecchia, B Alipanahi, ...
NPJ genomic medicine 1, 16027, 2016
952016
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
692009
Distance metric learning vs. Fisher discriminant analysis
B Alipanahi, M Biggs, A Ghodsi
Proceedings of the 23rd national conference on Artificial intelligence 2 …, 2008
592008
Are random forests truly the best classifiers?
M Wainberg, B Alipanahi, BJ Frey
The Journal of Machine Learning Research 17 (1), 3837-3841, 2016
572016
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
542017
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
372018
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
362015
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
322013
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
262011
Network cleanup
B Alipanahi, BJ Frey
Nature biotechnology 31 (8), 714, 2013
192013
Guided locally linear embedding
B Alipanahi, A Ghodsi
Pattern Recognition Letters 32 (7), 1029-1035, 2011
182011
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 App. 14/739,432, 2016
162016
Protein secondary structure prediction using NMR chemical shift data
Y Zhao, B Alipanahi, SC Li, M Li
Journal of bioinformatics and computational biology 8 (05), 867-884, 2010
162010
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Articles 1–20