Postprocessing - Inference on the latent states

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Description

This function returns the modal latent states.

Usage

1
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

Details

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

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

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