gsea.t2cov

gene.sets

gene.names

gs.names

method for testing equality of covariance matrices

method

method for p-value adjustment (default: 'fdr')

method.p.adjust

internal

Package nethet is an implementation of statistical solid
    methodology enabling the analysis of network heterogeneity from
    high-dimensional data. It combines several implementations of recent
    statistical innovations useful for estimation and comparison of networks in
    a heterogeneous, high-dimensional setting. In particular, we provide code
    for formal two-sample testing in Gaussian graphical models (differential
    network and GGM-GSA; Stadler and Mukherjee, 2013, 2014) and make a novel
    network-based clustering algorithm available (mixed graphical lasso,
    Stadler and Mukherjee, 2013).

Nicolas Staedler

nethet

A bioconductor package for high-dimensional exploration of
    biological network heterogeneity

gsea.t2cov function

GSA using T2cov-test

gsea.t2cov: GSA using T2cov-test

Description

Usage

Arguments

Value