David Golan
David Golan
Statistics PhD student, Tel Aviv University.
Verified email at post.tau.ac.il - Homepage
Cited by
Cited by
Identifying Personal Genomes by Surname Inference
M Gymrek, AL McGuire, D Golan, E Halperin, Y Erlich
Science 339 (6117), 321-324, 2013
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
lobSTR: a short tandem repeat profiler for personal genomes
M Gymrek, D Golan, S Rosset, Y Erlich
Genome research 22 (6), 1154-1162, 2012
Detection of human adaptation during the past 2000 years
Y Field, EA Boyle, N Telis, Z Gao, KJ Gaulton, D Golan, L Yengo, ...
Science 354 (6313), 760-764, 2016
Measuring missing heritability: inferring the contribution of common variants
D Golan, ES Lander, S Rosset
Proceedings of the National Academy of Sciences 111 (49), E5272-E5281, 2014
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
Feed-Forward Microprocessing and Splicing Activities at a MicroRNA–Containing Intron
MM Janas, M Khaled, S Schubert, JG Bernstein, D Golan, RA Veguilla, ...
PLoS Genetics 7 (10), e1002330, 2011
Pooled ChIP-seq links variation in transcription factor binding to complex disease risk
AK Tehranchi, M Myrthil, T Martin, BL Hie, D Golan, HB Fraser
Cell 165 (3), 730-741, 2016
A method for generating realistic correlation matrices
J Hardin, SR Garcia, D Golan
The Annals of Applied Statistics, 1733-1762, 2013
Inferring relevant cell types for complex traits by using single-cell gene expression
D Calderon, A Bhaskar, DA Knowles, D Golan, T Raj, AQ Fu, JK Pritchard
The American Journal of Human Genetics 101 (5), 686-699, 2017
An evolutionary perspective of animal microRNAs and their targets
N Shomron, D Golan, E Hornstein
Journal of Biomedicine and Biotechnology 2009, 2009
Artificial intelligence, machine learning and the evolution of healthcare: A bright future or cause for concern?
LD Jones, D Golan, SA Hanna, M Ramachandran
Bone & joint research 7 (3), 223-225, 2018
Deep sequencing analysis of viral infection and evolution allows rapid and detailed characterization of viral mutant spectrum
O Isakov, AV Borderķa, D Golan, A Hamenahem, G Celniker, L Yoffe, ...
Bioinformatics 31 (13), 2141-2150, 2015
Effective genetic-risk prediction using mixed models
D Golan, S Rosset
The American Journal of Human Genetics 95 (4), 383-393, 2014
Accurate estimation of heritability in genome wide studies using random effects models
D Golan, S Rosset
Bioinformatics 27 (13), i317-i323, 2011
Using state machines to model the Ion Torrent sequencing process and to improve read error rates
D Golan, P Medvedev
Bioinformatics 29 (13), i344-i351, 2013
Biased hosting of intronic microRNA genes
D Golan, C Levy, B Friedman, N Shomron
Bioinformatics 26 (8), 992-995, 2010
Involvement of IGF-1R regulation by miR-515-5p modifies breast cancer risk among BRCA1 carriers
A Gilam, L Edry, E Mamluk-Morag, D Bar-Ilan, C Avivi, D Golan, Y Laitman, ...
Breast cancer research and treatment 138 (3), 753-760, 2013
Fully automating Graf’s method for DDH diagnosis using deep convolutional neural networks
D Golan, Y Donner, C Mansi, J Jaremko, M Ramachandran
Deep Learning and Data Labeling for Medical Applications, 130-141, 2016
Weighted pooling—practical and cost-effective techniques for pooled high-throughput sequencing
D Golan, Y Erlich, S Rosset
Bioinformatics 28 (12), i197-i206, 2012
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