combineGenesMatrix {chroGPS} | R Documentation

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

### 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.

[Package chroGPS version 2.4.0 Index]