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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.
Package details |
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Author | Kun Liang [aut, cre] |
Bioconductor views | Bayesian DifferentialExpression GeneExpression Genetics ImmunoOncology Metabolomics Microarray MultipleComparison Proteomics RNASeq Regression Sequencing Transcriptomics |
Maintainer | Kun Liang <kun.liang@uwaterloo.ca> |
License | GPL (>=2) |
Version | 1.4.0 |
Package repository | View on Bioconductor |
Installation |
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