geneSetGPS: Highlight point (gene) position over a Multi-dimensional...

Description Usage Arguments Value Author(s) Examples

Description

Given a list of genes of interest, the function highlights their position over a Multi-dimensional Scaling plot.

Usage

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geneSetGPS(x, m, genes, uniqueCount = TRUE, ...)

Arguments

x

Matrix or data frame of observations x variables (tipically genes x epigenetic factors), with gene identifiers as rownames.

m

Object of class mds with a valid Multidimensional Scaling representation for the elements in x.

genes

Character vector containing gene identifiers, matching those on rownames(x).

uniqueCount

Set to FALSE if the MDS has been generated directly from the data in x, otherwise set to TRUE to match gene identifiers with their unique pattern of observed variables.

...

Additional parameters given to the generic function plot.

Value

Matrix with coordinates on the given input MDS object for the genes selected.

Author(s)

Oscar Reina

Examples

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# Not run
# data(s2)
# d <- distGPS(s2.tab,metric='tanimoto',uniqueRows=TRUE)
# mds1 <- mds(d)
# set.seed(149)
# sampleGenes <- rownames(s2.tab)[sample(1:nrow(s2.tab),10,rep=FALSE)]
# pts <- geneSetGPS(s2.tab,mds1,genes=sampleGenes,uniqueCount=TRUE)
# plot(mds1)
# points(getPoints(pts),col='red',cex=3)

Bioconductor-mirror/chroGPS documentation built on June 1, 2017, 5:32 a.m.