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.
|Bioconductor views||Bayesian DifferentialExpression GeneExpression Genetics ImmunoOncology Metabolomics Microarray MultipleComparison Proteomics RNASeq Regression Sequencing Transcriptomics|
|Package repository||View on GitHub|
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