bootmr.weight: Computation of weights for informative genes/ geneset...

Description Usage Arguments Details Author(s) Examples

Description

The function computes the weights associated with each genes for a given dataset using Bootstrap-MRMR technique.

Usage

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bootmr.weight(x, y, s, plot)

Arguments

x

x is a N by p dataframe of gene expression, where rows are genes and columns are as samples/subjects (gene names are taken as row names). Each cell/entry represents the expression level of a gene in a sample/subject.

y

y is a p by 1 numeric vector having elements as 1/-1 representing the sample labels of samples/subjects (for two class problems, i.e. stress/control)

s

s is a numeric constant representing the number of bootstrap samples drawn (s must be sufficiently large)

plot

plot is a character string must either take logical value TRUE/FALSE representing whether the plot of the gene weights of all genes in the dataset needs to be constructed or not.

Details

The function returns a vector of weights associated with each genes computed from Bootstrap-MRMR technique for a given dataset.

Author(s)

Samarendra Das

Examples

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BootMRMR documentation built on May 1, 2019, 7:49 p.m.