genefu (version 2.4.2)

map.datasets: Function to map a list of datasets through EntrezGene IDs in order to get the union of the genes

Description

This function maps a list of datasets through EntrezGene IDs in order to get the union of the genes.

Usage

map.datasets(datas, annots, do.mapping = FALSE, 
mapping.coln = "EntrezGene.ID", mapping, verbose = FALSE)

Arguments

datas

List of matrices of gene expressions with samples in rows and probes in columns, dimnames being properly defined.

annots

List of matrices of annotations with at least one column named "EntrezGene.ID", dimnames being properly defined.

do.mapping

TRUE if the mapping through Entrez Gene ids must be performed (in case of ambiguities, the most variant probe is kept for each gene), FALSE otherwise.

mapping.coln

Name of the column containing the biological annotation to be used to map the different datasets, default is "EntrezGene.ID".

mapping

Matrix with columns "EntrezGene.ID" and "probe.x" used to force the mapping such that the probes of platform x are not selected based on their variance.

verbose

TRUE to print informative messages, FALSE otherwise.

Value

• datas
  List of datasets (gene expression matrices)
• annots
  List of annotations (annotation matrices)

Details

In case of several probes representing the same EntrezGene ID, the most variant is selected if mapping is not specified. When a EntrezGene ID does not exist in a specific dataset, NA values are introduced.

Examples

## load VDX dataset
data(vdxs)
## load NKI dataset
data(nkis)
## reduce datasets
ginter <- intersect(annot.vdxs[ ,"EntrezGene.ID"], annot.nkis[ ,"EntrezGene.ID"])
ginter <- ginter[!is.na(ginter)][1:30]
myx <- unique(c(match(ginter, annot.vdxs[ ,"EntrezGene.ID"]),
  sample(x=1:nrow(annot.vdxs), size=20)))
data2.vdxs <- data.vdxs[ ,myx]
annot2.vdxs <- annot.vdxs[myx, ]
myx <- unique(c(match(ginter, annot.nkis[ ,"EntrezGene.ID"]),
  sample(x=1:nrow(annot.nkis), size=20)))
data2.nkis <- data.nkis[ ,myx]
annot2.nkis <- annot.nkis[myx, ]
## mapping of datasets
datas <- list("VDX"=data2.vdxs,"NKI"=data2.nkis)
annots <- list("VDX"=annot2.vdxs, "NKI"=annot2.nkis)
datas.mapped <- map.datasets(datas=datas, annots=annots, do.mapping=TRUE)
str(datas.mapped, max.level=2)