R: Divergence: Functionality for assessing omics data by divergence with respect to a baseline

# Divergence: Functionality for assessing omics data by divergence with respect to a baseline

## Documentation for package ‘divergence’ version 1.28.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

breastTCGA_ER | ER positive or negative status of breast tumor samples
breastTCGA_Group | Normal or Tumor status of breast samples
breastTCGA_Mat | Gene expression for 260 genes in 887 breast samples
computeChiSquaredTest | Compute chi-squared test
computeMultivariateBinaryMatrix | Compute the binary matrix with digitized divergence coding
computeMultivariateDigitization | Perform binary digitization
computeMultivariateSupport | Estimate the baseline support
computeQuantileMatrix | Compute quantile transformations
computeUnivariateDigitization | Perform ternary digitization
computeUnivariateSupport | Estimate the baseline support
computeUnivariateTernaryMatrix | Compute the ternary matrix with digitized divergence coding
findMultivariateGammaWithSupport | Find optimal gamma and corresponding support for list of feature sets
findUnivariateGammaWithSupport | Search for optimal gamma and associated support
msigdb_Hallmarks | Cancer Hallmark gene sets from the MSigDB collection