iBATCGH (version 1.3.1)

InferenceXi: Postprocessing - Inference on the latent states

Description

This function returns the modal latent states.

Usage

InferenceXi(listXi, niter, burnin)

Arguments

listXi

Last three objects of the output of the main function

niter

Number of Monte Carlo Markov Chain iterations

burnin

Burn-in

Value

Matrix of modal latent states, i.e. estimated Copy Number Variants. A four class classification is considered:

1. Loss

2. Neutral

3. Gain

4. Amplification

Details

Must use the same burn-in as in the main function.

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
# }