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.
|Author||Weixin 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|
|Maintainer||Weixin Cai <email@example.com>|
|Package repository||View on Bioconductor|
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