wilsoncai1992/adaptest: Data-Adaptive Statistics for High-Dimensional Multiple Testing
Version 1.1.0

Data-adaptive test statistics represent a general methodology for performing multiple hypothesis testing on effects sizes while maintaining honest statistical inference when operating in high-dimensional settings (). The utilities provided here extend the use of this general methodology to many common data analytic challenges that arise in modern computational and genomic biology.

Getting started

Package details

AuthorWeixin Cai [aut, cre, cph], Nima Hejazi [aut], Alan Hubbard [ctb, ths]
Bioconductor views DifferentialExpression DimensionReduction GeneExpression Genetics Microarray MultipleComparison Regression Sequencing
MaintainerWeixin Cai <[email protected]>
LicenseGPL-2
Version1.1.0
URL https://github.com/wilsoncai1992/adaptest
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("wilsoncai1992/adaptest")
wilsoncai1992/adaptest documentation built on May 10, 2018, 6:37 p.m.