Yakir Reshef
Yakir Reshef
Unknown affiliation
Verified email at - Homepage
Cited by
Cited by
Detecting novel associations in large data sets
DN Reshef, YA Reshef, HK Finucane, SR Grossman, G McVean, ...
science 334 (6062), 1518-1524, 2011
Partitioning heritability by functional annotation using genome-wide association summary statistics
HK Finucane, B Bulik-Sullivan, A Gusev, G Trynka, Y Reshef, PR Loh, ...
Nature genetics 47 (11), 1228-1235, 2015
Reference-based phasing using the Haplotype Reference Consortium panel
PR Loh, P Danecek, PF Palamara, C Fuchsberger, Y A Reshef, ...
Nature genetics 48 (11), 1443-1448, 2016
Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types
HK Finucane, YA Reshef, V Anttila, K Slowikowski, A Gusev, A Byrnes, ...
Nature genetics 50 (4), 621-629, 2018
Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights
A Gusev, N Mancuso, H Won, M Kousi, HK Finucane, Y Reshef, L Song, ...
Nature genetics 50 (4), 538-548, 2018
Sequential regulatory activity prediction across chromosomes with convolutional neural networks
DR Kelley, YA Reshef, M Bileschi, D Belanger, CY McLean, J Snoek
Genome research 28 (5), 739-750, 2018
Insights into clonal haematopoiesis from 8,342 mosaic chromosomal alterations
PR Loh, G Genovese, RE Handsaker, HK Finucane, YA Reshef, ...
Nature 559 (7714), 350-355, 2018
Functionally informed fine-mapping and polygenic localization of complex trait heritability
O Weissbrod, F Hormozdiari, C Benner, R Cui, J Ulirsch, S Gazal, ...
Nature genetics 52 (12), 1355-1363, 2020
Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits
F Hormozdiari, S Gazal, B Van De Geijn, HK Finucane, CJT Ju, PR Loh, ...
Nature genetics 50 (7), 1041-1047, 2018
Equitability analysis of the maximal information coefficient, with comparisons
D Reshef, Y Reshef, M Mitzenmacher, P Sabeti
arXiv preprint arXiv:1301.6314, 2013
Measuring dependence powerfully and equitably
YA Reshef, DN Reshef, HK Finucane, PC Sabeti, M Mitzenmacher
The Journal of Machine Learning Research 17 (1), 7406-7468, 2016
Estimating cross‐population genetic correlations of causal effect sizes
KJ Galinsky, YA Reshef, HK Finucane, PR Loh, N Zaitlen, NJ Patterson, ...
Genetic epidemiology 43 (2), 180-188, 2019
Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk
YA Reshef, HK Finucane, DR Kelley, A Gusev, D Kotliar, JC Ulirsch, ...
Nature genetics 50 (10), 1483-1493, 2018
An empirical study of the maximal and total information coefficients and leading measures of dependence
DN Reshef, YA Reshef, PC Sabeti, M Mitzenmacher
Cleaning up the record on the maximal information coefficient and equitability
DN Reshef, YA Reshef, M Mitzenmacher, PC Sabeti
Proceedings of the National Academy of Sciences 111 (33), E3362-E3363, 2014
Co-varying neighborhood analysis identifies cell populations associated with phenotypes of interest from single-cell transcriptomics
YA Reshef, L Rumker, JB Kang, A Nathan, I Korsunsky, S Asgari, ...
Nature biotechnology 40 (3), 355-363, 2022
Cellular deconstruction of inflamed synovium defines diverse inflammatory phenotypes in rheumatoid arthritis
F Zhang, AH Jonsson, A Nathan, K Wei, N Millard, Q Xiao, ...
BioRxiv, 2022.02. 25.481990, 2022
Comparing pedigree graphs
B Kirkpatrick, Y Reshef, H Finucane, H Jiang, B Zhu, RM Karp
Journal of Computational Biology 19 (9), 998-1014, 2012
Annotations capturing cell type-specific TF binding explain a large fraction of disease heritability
B van de Geijn, H Finucane, S Gazal, F Hormozdiari, T Amariuta, X Liu, ...
Human molecular genetics 29 (7), 1057-1067, 2020
An empirical study of leading measures of dependence
DN Reshef, YA Reshef, PC Sabeti, MM Mitzenmacher
arXiv preprint arXiv:1505.02214, 2015
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