iBATCGH (version 1.3.1)

InferenceR: Postprocessing - Inference on the association matrix

Description

This function performs posterior inference on the association matrix, returning the matrix of posterior probabilities of inclusion for each association gene expression - CGH. It also returns the binary matrix of significant links that exceed a threshold given as argument.

Usage

InferenceR(listR, G, M, niter, burnin, threshold = 0.5)

Arguments

listR

First niter objects of the output of the main function

G

Number of gene expression probes

M

Number of aCGH probes

niter

Number of Monte Carlo Markov Chains iterations

burnin

Burn-in

threshold

Threshold on the posterior probability of inclusion

Value

A list made of the following items

FreqMat

Matrix of posterior probabilities of inclusion

final

Binary association matrix

References

Cassese A, Guindani M, Tadesse M, Falciani F, Vannucci M. A hierarchical Bayesian model for inference of copy number variants and their association to gene expression. Annals of Applied Statistics, 8(1), 148-175. Cassese A, Guindani M, Vannucci M. A Bayesian integrative model for genetical genomics with spatially informed variable selection. Cancer Informatics.

See Also

See Also as Inference

Examples

# NOT RUN {
##See Inference
# }