InferXseqPosterior

model

constraint

Logical, specifying whether debug information should be printed

debug


Learn xseq parameters given an initialized model


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.

InferXseqPosterior: Learn xseq parameters given an initialized model

Description

Usage

Arguments

Value