BIMEGA_Plot: The BIMEGA_Plot function.
In mpru/BIMEGA: BIMEGA: BIvariate Methylation and Expression GAussian mixture model

Description Usage Arguments Value Examples

Produces plots to represent BIMEGA's output.

1 2	BIMEGA_Plot(GeneName, MixtureModelResults, METcancer, MAcancer, METnormal = NULL, MAnormal = NULL, title = NULL)

`GeneName`	Name of the gene for which to create a BIMEGA plot.
`MixtureModelResults`	List returned by BIMEGA function.
`METcancer`	Matrix with the methylation data of cancer tissue with genes in rows and samples in columns.
`MAcancer`	Gene expression data for cancer tissue with genes in rows and samples in columns.
`METnormal`	Matrix with the normal methylation data of the same genes as in METcancer (optional). Again genes in rows and samples in columns.
`MAnormal`	Gene expression data for normal tissue with genes in rows and samples in columns (optional).
`title`	A title for the plot.

BIMEGA plot, a scatterplot between DNA methylation and gene expression, showing the different mixture components identified.

# load the data sets needed for BIMEGA
data(METcancer)
data(METnormal)
data(MAcancer)
data(MAnormal)

# run BIMEGA on a small set of example data
BIMEGAresults <- BIMEGA(METcancer, METnormal, MAcancer, MAnormal)

# Produce plots of differentially methylated genes
for (gene in BIMEGAresults$MethylationDrivers) {
     g <- BIMEGA_Plot(gene, BIMEGAresults, METcancer, MAcancer, METnormal, MAnormal)
     plot(g)
}