profileClusters: Assess epigenetic profiles for genes present in each cluster...

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

Description

Assess epigenetic profiles for genes present in each cluster as obtained by the clusGPS function.

Usage

profileClusters(x, clus, clusName = NULL, normalize = FALSE, mc.cores = 1, ...)

Arguments

x	Matrix or data.frame with epigenetic profiles used to generate chroGPS-genes map. See distGPS.
clus	A valid clusGPS object from the chroGPS-genes map generated from x.
clusName	If desired, the name of a clustering solution within the clusGPS object. See clusNames.
normalize	Normalize epigenetic profile information with respect to whole genome (to assess enrichments/depletions).
mc.cores	Cores to use in call to parallel::mclapply.
...	Additional arguments.

Value

Data frame with epigenetic enrichment profiles for all clusters (rows) and epigenetic factors (columns), to be used for downstream assessments or visualization (heatmaps).

Author(s)

Oscar Reina.

See Also

distGPS, clusGPS.

Examples

## Not run

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