SEE

Software for smoothing and extracting behavioral measures from tracked mouse data. Software webpage.

• Drai, Dan, and Ilan Golani. "SEE: a tool for the visualization and analysis of rodent exploratory behavior." Neuroscience & Biobehavioral Reviews 25.5 (2001): 409-426. link to paper.

HWBH

Web application for hierarchical weighted FDR testing of primary and secondary endpoints in Medical Research. link to application.
by Rami Cohen, Shay Yaacoby and Yoav Benjamini.

R-value

Web application for FDR testing for replicability in primary and follow-up endpoints. link to application.
by Ruth Heller, Shay Yaacoby, Marina Bogomolov and Yoav Benjamini.

• Heller, Ruth, Marina Bogomolov, and Yoav Benjamini. "Deciding whether follow-up studies have replicated findings in a preliminary large-scale omics study." Proceedings of the National Academy of Sciences 111.46 (2014): 16262-16267. link to paper.

GxL Replicability Adjuster

Web application for replicability assessment of single lab mouse phenotyping results. link to application.
by Shay Yaacoby, Neri Kafkafi and Yoav Benjamini.

repfdr

R package for estimating Bayes and local Bayes false discovery rates for replicability analysis. CRAN

• Ruth Heller, Shay Yaacoby, and Daniel Yekutieli. "repfdr: a tool for replicability analysis for genome-wide association studies." Bioinformatics(2014): btu434. link to paper.

SelectiveCI

R package for post-selection confidence intervals. on Github.

• Weinstein, Asaf, William Fithian, and Yoav Benjamini. "Selection adjusted confidence intervals with more power to determine the sign." Journal of the American Statistical Association 108.501 (2013): 165-176. link to paper.
• Benjamini, Yoav, and Daniel Yekutieli. "False discovery rate–adjusted multiple confidence intervals for selected parameters." Journal of the American Statistical Association 100.469 (2005): 71-81. link to paper.

FPF

R package: Finding the prevalence of activation in fMRI group studies. Tutorial

• Rosenblatt, Jonathan D., Matthijs Vink, and Yoav Benjamini. "Revisiting multi-subject random effects in fMRI: Advocating prevalence estimation."NeuroImage 84 (2014): 113-121. link to paper.

dendextend

R package: Functions and methods for extending dendrogram objects in R. CRAN.
by Tal Galili.