Yuval Benjamini, Ph.D.

Affiliations: 
2013 Statistics University of California, Berkeley, Berkeley, CA, United States 
Area:
Signal Processing (SP), Machine learning, Remote Sensing, Neuroscience
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"Yuval Benjamini"

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Bin Yu grad student 2013 UC Berkeley
 (Predictive models in neuroscience and bioinformatics.)
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Publications

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Rosenblatt JD, Benjamini Y, Gilron R, et al. (2019) Better-than-chance classification for signal detection. Biostatistics (Oxford, England)
Benjamini Y, Taylor J, Irizarry RA. (2018) Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays. Journal of the American Statistical Association. 114: 1351-1365
Korthauer K, Chakraborty S, Benjamini Y, et al. (2018) Detection and accurate false discovery rate control of differentially methylated regions from whole genome bisulfite sequencing. Biostatistics (Oxford, England)
Chandrananda D, Thorne NP, Ganesamoorthy D, et al. (2014) Investigating and correcting plasma DNA sequencing coverage bias to enhance aneuploidy discovery. Plos One. 9: e86993
Benjamini Y, Yu B. (2013) The shuffle estimator for explainable variance in FMRI experiments Annals of Applied Statistics. 7: 2007-2033
Benjamini Y, Speed TP. (2012) Summarizing and correcting the GC content bias in high-throughput sequencing. Nucleic Acids Research. 40: e72
Nishimoto S, Vu AT, Naselaris T, et al. (2011) Reconstructing visual experiences from brain activity evoked by natural movies. Current Biology : Cb. 21: 1641-6
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