newBlockInformation: Create a list holding information about dividing data into...

In WGCNA: Weighted Correlation Network Analysis

Create a list holding information about dividing data into blocks

Description

This function creates a list storing information about dividing data into blocks, as well as about possibly excluding genes or samples with excessive numbers of missing data.

Usage

newBlockInformation(blocks, goodSamplesAndGenes)

Arguments

blocks	A vector giving block labels. It is assumed to be a numeric vector with block labels consecutive integers starting at 1.
goodSamplesAndGenes	A list returned by goodSamplesGenes or goodSamplesGenesMS.

Value

A list with class attribute set to BlockInformation, with the following componens:

blocks	A copy of the input blocks.
blockGenes	A list with one component per block, giving the indices of elements in block whose value is the same.
goodSamplesAndGenes	A copy of input goodSamplesAndGenes.
nGGenes	Number of ‘good’ genes in goodSamplesAndGenes.
gBlocks	The input blocks restricted to ‘good’ genes in goodSamplesAndGenes.

Author(s)

Peter Langfelder

See Also

goodSamplesGenes, goodSamplesGenesMS.

WGCNA documentation built on Jan. 22, 2023, 1:34 a.m.