Extrinsic and intrinsic systems in the posterior cortex of the human brain revealed during natural sensory stimulation Y Golland, S Bentin, H Gelbard, Y Benjamini, R Heller, Y Nir, U Hasson, ...
Cerebral cortex 17 (4), 766-777, 2007
424 2007 A consistent multivariate test of association based on ranks of distances R Heller, Y Heller, M Gorfine
Biometrika 100 (2), 503-510, 2013
285 2013 False discovery rates for spatial signals Y Benjamini, R Heller
Journal of the American Statistical Association 102 (480), 1272-1281, 2007
259 2007 Prevalence of sexual dimorphism in mammalian phenotypic traits NA Karp, J Mason, AL Beaudet, Y Benjamini, L Bower, RE Braun, ...
Nature communications 8 (1), 15475, 2017
257 2017 Cluster-based analysis of FMRI data R Heller, D Stanley, D Yekutieli, N Rubin, Y Benjamini
NeuroImage 33 (2), 599-608, 2006
253 2006 Reproducibility and replicability of rodent phenotyping in preclinical studies N Kafkafi, J Agassi, EJ Chesler, JC Crabbe, WE Crusio, D Eilam, R Gerlai, ...
Neuroscience & Biobehavioral Reviews 87, 218-232, 2018
219 2018 Screening for partial conjunction hypotheses Y Benjamini, R Heller
Biometrics 64 (4), 1215-1222, 2008
191 2008 Selective inference in complex research Y Benjamini, R Heller, D Yekutieli
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2009
184 2009 Consistent Distribution-Free -Sample and Independence Tests for Univariate Random Variables R Heller, Y Heller, S Kaufman, B Brill, M Gorfine
Journal of Machine Learning Research 17 (29), 1-54, 2016
99 2016 Split samples and design sensitivity in observational studies R Heller, PR Rosenbaum, DS Small
Journal of the American Statistical Association 104 (487), 1090-1101, 2009
94 2009 Conjunction group analysis: an alternative to mixed/random effect analysis R Heller, Y Golland, R Malach, Y Benjamini
Neuroimage 37 (4), 1178-1185, 2007
82 2007 Replicability analysis for genome-wide association studies R Heller, D Yekutieli
79 2014 Discrete false-discovery rate improves identification of differentially abundant microbes L Jiang, A Amir, JT Morton, R Heller, E Arias-Castro, R Knight
MSystems 2 (6), 10.1128/msystems. 00092-17, 2017
74 2017 Deciding whether follow-up studies have replicated findings in a preliminary large-scale omics study R Heller, M Bogomolov, Y Benjamini
Proceedings of the National Academy of Sciences 111 (46), 16262-16267, 2014
60 2014 Testing for differential abundance in compositional counts data, with application to microbiome studies B Brill, A Amir, R Heller
The Annals of Applied Statistics 16 (4), 2648-2671, 2022
50 2022 Comment on “detecting novel associations in large data sets” by reshef et al, science dec 16, 2011 M Gorfine, R Heller, Y Heller
Science, 2012
48 2012 A statistical framework for efficient out of distribution detection in deep neural networks M Haroush, T Frostig, R Heller, D Soudry
arXiv preprint arXiv:2102.12967, 2021
45 2021 A flexible two-stage procedure for identifying gene sets that are differentially expressed R Heller, E Manduchi, GR Grant, WJ Ewens
Bioinformatics 25 (8), 1019-1025, 2009
45 2009 A powerful statistical framework for generalization testing in GWAS, with application to the HCHS/SOL T Sofer, R Heller, M Bogomolov, CL Avery, M Graff, KE North, AP Reiner, ...
Genetic epidemiology 41 (3), 251-258, 2017
44 2017 FWER and FDR control when testing multiple mediators JN Sampson, SM Boca, SC Moore, R Heller
Bioinformatics 34 (14), 2418-2424, 2018
43 2018