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] (<>), Nima Hejazi [aut] (<>), Alan Hubbard [ctb, ths] (<>)
Bioconductor views DifferentialExpression DimensionReduction GeneExpression Genetics Microarray MultipleComparison Regression Sequencing
MaintainerWeixin Cai <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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adaptest documentation built on April 28, 2020, 7:24 p.m.