wilsoncai1992/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.

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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]>
URL https://github.com/wilsoncai1992/adaptest
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
wilsoncai1992/adaptest documentation built on Oct. 31, 2018, 1:10 p.m.