| Identifying Personal Genomes by Surname Inference M Gymrek, AL McGuire, D Golan, E Halperin, Y Erlich Science 339 (6117), 321-324, 2013 | 1349 | 2013 |
| 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 | 718 | 2019 |
| 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 | 645 | 2016 |
| 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 | 391 | 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 | 352 | 2012 |
| 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 | 349 | 2014 |
| 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 | 144 | 2018 |
| 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 | 126 | 2016 |
| 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 | 115 | 2017 |
| A method for generating realistic correlation matrices J Hardin, SR Garcia, D Golan The Annals of Applied Statistics, 1733-1762, 2013 | 107 | 2013 |
| 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 | 88 | 2011 |
| Allelic variation in class I HLA determines CD8+ T cell repertoire shape and cross-reactive memory responses to SARS-CoV-2 JM Francis, D Leistritz-Edwards, A Dunn, C Tarr, J Lehman, C Dempsey, ... Science immunology 7 (67), eabk3070, 2021 | 80 | 2021 |
| Deep sequencing analysis of viral infection and evolution allows rapid and detailed characterization of viral mutant spectrum O Isakov, AV Bordería, D Golan, A Hamenahem, G Celniker, L Yoffe, ... Bioinformatics 31 (13), 2141-2150, 2015 | 70 | 2015 |
| An evolutionary perspective of animal microRNAs and their targets N Shomron, D Golan, E Hornstein BioMed Research International 2009 (1), 594738, 2009 | 65 | 2009 |
| Effective genetic-risk prediction using mixed models D Golan, S Rosset The American Journal of Human Genetics 95 (4), 383-393, 2014 | 59 | 2014 |
| 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 | 53 | 2013 |
| Fully automating Graf’s method for DDH diagnosis using deep convolutional neural networks D Golan, Y Donner, C Mansi, J Jaremko, M Ramachandran, CUDL Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 48 | 2016 |
| Accurate estimation of heritability in genome wide studies using random effects models D Golan, S Rosset Bioinformatics 27 (13), i317-i323, 2011 | 47 | 2011 |
| Bayesian-based noninvasive prenatal diagnosis of single-gene disorders T Rabinowitz, A Polsky, D Golan, A Danilevsky, G Shapira, C Raff, ... Genome research 29 (3), 428-438, 2019 | 40 | 2019 |
| Biased hosting of intronic microRNA genes D Golan, C Levy, B Friedman, N Shomron Bioinformatics 26 (8), 992-995, 2010 | 40 | 2010 |
Yaniv ErlichCEO, Eleven Therapeutics在 cs.columbia.edu 的电子邮件经过验证
