EstimateExpression

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.

expr

Logical, specifying whether to plot results

show.plot

Logical, whether plot the log-likelihoods

loglik

xlab

ylab


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


A hierarchical Bayesian approach to assess functional impact of mutations on gene expression in cancer. Given a patient-gene matrix encoding the presence/absence of a mutation, a patient-gene expression matrix encoding continuous value expression data, and a graph structure encoding whether two genes are known to be functionally related, xseq outputs: a) the probability that a recurrently mutated gene g influences gene expression across the population of patients;
and b) the probability that an individual mutation in gene g in an individual patient m influences expression within that patient.

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

Description

Usage

Arguments

Value

Examples