Last data update: 2014.03.03

R: The datastructure to store the xseq models
InitXseqModelR Documentation

The datastructure to store the xseq models

Description

The datastructure to store the xseq models

Usage

InitXseqModel(mut, expr, net, expr.dis, prior, cpd, gene, p.h, weight,
  cis = FALSE, debug = FALSE)

Arguments

mut

A data.frame of mutations. The data.frame should have three columns of characters: sample, hgnc_symbol, and variant_type. The variant_type column cat be either "HOMD", "HLAMP", "MISSENSE", "NONSENSE", "FRAMESHIFT", "INFRAME", "SPLICE", "NONSTOP", "STARTGAINED", "SYNONYMOUS", "OTHER", "FUSION", "COMPLEX".

expr

A matrix of gene expression values where each row corresponds to a patient and each column is a gene

net

A list of gene interaction networks

expr.dis

The fitted gene expression distributions, output from GetExpressionDistribution

prior

The prior for xseq, output from SetXseqPrior

cpd

A list of conditional probability tables for xseq, output from SetXseqPrior

gene

A character vector of gene names, default to all the genes with mutations

p.h

The down-regulation probability list of each gene connected to a mutated gene, typically from running LearnXseqParameter on a discovery dataset

weight

The weight list of each gene connected to a mutated gene, typically from running LearnXseqParameter on a discovery dataset

cis

Logical, cis or trans analysis

debug

Logical, whether to output debug information

Value

A xseq model

Results