Yuval Benjamini
TitleCited byYear
Reconstructing visual experiences from brain activity evoked by natural movies
S Nishimoto, AT Vu, T Naselaris, Y Benjamini, B Yu, JL Gallant
Current Biology 21 (19), 1641-1646, 2011
7202011
Summarizing and correcting the GC content bias in high-throughput sequencing
Y Benjamini, TP Speed
Nucleic acids research 40 (10), e72-e72, 2012
6082012
Cell lineage analysis in human brain using endogenous retroelements
GD Evrony, E Lee, BK Mehta, Y Benjamini, RM Johnson, X Cai, L Yang, ...
Neuron 85 (1), 49-59, 2015
1342015
Effects of productivity and disturbance on species richness: a neutral model
R Kadmon, Y Benjamini
The American Naturalist 167 (6), 939-946, 2006
672006
Detection and accurate false discovery rate control of differentially methylated regions from whole genome bisulfite sequencing
K Korthauer, S Chakraborty, Y Benjamini, RA Irizarry
Biostatistics 20 (3), 367-383, 2019
232019
Investigating and correcting plasma DNA sequencing coverage bias to enhance aneuploidy discovery
D Chandrananda, NP Thorne, D Ganesamoorthy, DL Bruno, Y Benjamini, ...
PLoS One 9 (1), 2014
212014
Better-than-chance classification for signal detection
JD Rosenblatt, Y Benjamini, R Gilron, R Mukamel, JJ Goeman
arXiv preprint arXiv:1608.08873, 2016
82016
THE SHUFFLE ESTIMATOR FOR EXPLAINABLE VARIANCE IN FMRI EXPERIMENTS
Y Benjamini, B Yu
Annals of Applied Statistics 7 (4), 2007-2033, 2013
72013
Selection-corrected statistical inference for region detection with high-throughput assays
Y Benjamini, J Taylor, RA Irizarry
Journal of the American Statistical Association 114 (527), 1351-1365, 2019
42019
Estimating mutual information in high dimensions via classification error
CY Zheng, Y Benjamini
arXiv preprint arXiv:1606.05229, 2016
32016
Extrapolating expected accuracies for large multi-class problems
C Zheng, R Achanta, Y Benjamini
The Journal of Machine Learning Research 19 (1), 2609-2638, 2018
12018
Valid Inference for Selected Regions of Interest with Application to fMRI Studies
A Meir, Y Benjamini
2018
Predictive models in neuroscience and bioinformatics
Y Benjamini
UC Berkeley, 2013
2013
ENVELOPE MODELS FOR PARSIMONIOUS AND EFFICIENT MULTIVARIATE LINEAR REGRESSION COMMENT
J Jia, Y Benjamini, C Lim, G Raskutti, B Yu
STATISTICA SINICA 20 (3), 960-967, 2010
2010
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Articles 1–14