combineGenesMatrix: Combine two datasets with epigenetic factor profiles at gene...

In chroGPS: chroGPS2: Generation, visualization and differential analysis of epigenome maps

Description

Combine two datasets with epigenetic factor profiles at gene level in order to produce a differential chroGPS-genes map.

Usage

combineGenesMatrix(x, y, label.x, label.y, minFactors = 10, minGenes = 1000)

Arguments

x	Data frame or matrix with genes (rows) and epigenetic factors (columns), and values of 0/1 to indicate binding of a given epigenetic factor over genes.
y	Same as x, containing the second dataset to compare. Column names have to match between both datasets, with at least a minimum number of common ones.
label.x	Name for the x dataset.
label.y	Name for the y dataset.
minFactors	Minimum number of common factors between both datasets.
minGenes	Minimum number of genes in each dataset with epigenetic information (that is, minimum number of rows where all values are not zeros).

Value

A matrix with the combined epigenetic profile dataset to perform differential analysis.

Author(s)

Oscar Reina.

See Also

See also distGPS, mds, diffGenes.

Examples

## Not run
## See example in diffGenes function.

chroGPS documentation built on Oct. 31, 2019, 4:52 a.m.