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 <firstname.lastname@example.org>|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.