shapiro_screen

sign.level in Shapiro-Wilk tests (default: sign.level=0.001)

sign.level

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

shapiro_screen function

Filter "non-normal" genes

expression matrix (condition 1) after filtering

x1.filt

expression matrix (condition 2) after filtering

shapiro_screen: Filter "non-normal" genes

Description

Usage

Arguments

Value

Details