k22liang/calm: Covariate Assisted Large-scale Multiple testing
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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Bayesian DifferentialExpression GeneExpression Genetics ImmunoOncology Metabolomics Microarray MultipleComparison Proteomics RNASeq Regression Sequencing Transcriptomics |
| Maintainer | |
| License | GPL (>=2) |
| Version | 0.99.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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