EstimateExpression: A mixture modelling approach to estiamte whether a gene is...

In xseq: Assessing Functional Impact on Gene Expression of Mutations in Cancer

Description

A mixture modelling approach to estiamte whether a gene is expressed in a study given RNA-seq gene expression data

Usage

EstimateExpression(expr, show.plot = FALSE, loglik = TRUE,
  xlab = "Expression", ylab = "Density", ...)

Arguments

expr	A matrix of RNA-seq gene expression values where each row corresponds to a patient and each column is a gene. Typically the expression of each gene is the log2 transformed RSEM value.
show.plot	Logical, specifying whether to plot results
loglik	Logical, whether plot the log-likelihoods
xlab	xlab of the plot
ylab	ylab of the plot
...	Arguments for plotting

Value

A weight vector representing whether individual genes are expressed in the study

Examples

data(expr)
weight = EstimateExpression(expr)

xseq documentation built on May 1, 2019, 9:47 p.m.