Statistical methods for multiple testing with covariate information. Traditional multiple testing methods only consider a list of test statistics, such as p-values. Our methods incorporate the auxiliary information, such as the lengths of gene coding regions or the minor allele frequencies of SNPs, to improve power.
|Author||Kun Liang [aut, cre]|
|Bioconductor views||Bayesian DifferentialExpression GeneExpression Genetics ImmunoOncology Metabolomics Microarray MultipleComparison Proteomics RNASeq Regression Sequencing Transcriptomics|
|Maintainer||Kun Liang <email@example.com>|
|Package repository||View on Bioconductor|
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