adaptest: Data-Adaptive Statistics for High-Dimensional Multiple Testing

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 (<doi here>). 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.

Package details

AuthorWeixin Cai [aut, cre, cph] (<https://orcid.org/0000-0003-2680-3066>), Nima Hejazi [aut] (<https://orcid.org/0000-0002-7127-2789>), Alan Hubbard [ctb, ths] (<https://orcid.org/0000-0002-3769-0127>)
Bioconductor views DifferentialExpression DimensionReduction GeneExpression Genetics Microarray MultipleComparison Regression Sequencing
MaintainerWeixin Cai <[email protected]>
LicenseGPL-2
Version1.6.1
URL https://github.com/wilsoncai1992/adaptest
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("adaptest")

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adaptest documentation built on Jan. 8, 2020, 2:01 a.m.