TopGenesMRMR: Selects the top ranked (differentially expressed) genes...
In sam-uofl/BSM: Gene Selection from Expression Data using 'BSM' Approach

Description Usage Arguments Details Value Author(s) Examples

Function 'TopGenesMRMR' returns the list of top ranked genes selected through Maximum Relevance and Minimum Redundancy (MRMR) method.

1	TopGenesMRMR(x, y, n)

`x`	Nxp data frame of gene expression values, where, N represents number of genes and p represents samples/time points generated in a case vs. control gene expression study.
`y`	px1 numeric vector with entries 1 and -1 representing sample/subject labels, where 1 and -1 represents the labels of subjects/ samples for case and control condition respectively.
`n`	Numeric constant (< N) representing the number of top ranked genes to be selected from the gene expression data.

Selects the top ranked (differentially expressed) genes through MRMR method.

A list of differentially expressed specified number of genes through MRMR method.

Samarendra Das <samarendra4849 at gmail.com>

x=as.data.frame(matrix(runif(1000), 50))
row.names(x) = paste("Gene", 1:50)
colnames(x) = paste("Samp", 1:20)
y=as.numeric(c(rep(1, 10), rep(-1, 10)))
TopGenesMRMR(x, y, n=5)