Postprocessing - Inference on the association matrix

Share:

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

1
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

Author(s)

Alberto Cassese

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

1
##See Inference