filterDataSet


		A dataset with genes as rows and samples as columns.


data


		a number specifying the percent of expression values that are not equal to 0 for a gene.


filterPerc


		This function filters our lowly expressed genes in RNAseq data.


methods

This package contains the functions to find the gene
expression modules that represent the drivers of Kauffman's
attractor landscape. The modules are the core attractor
pathways that discriminate between different cell types of
groups of interest. Each pathway has a set of synexpression
groups, which show transcriptionally-coordinated changes in
gene expression.

Samuel Zimmerman

attract

Methods to Find the Gene Expression Modules that Represent the
Drivers of Kauffman's Attractor Landscape

filterDataSet function

A dataset with genes as rows and samples as columns.

a number specifying the percent of expression values that are not equal to 0 for a gene.

This function filters our lowly expressed genes in RNAseq data.

filterDataSet: This function filters our lowly expressed genes in RNAseq data.

Description

Usage

Arguments

Value

Details

Examples