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iBATCGH (version 1.3.1)

Integrative Bayesian Analysis of Transcriptomic and CGH Data

Description

Bayesian integrative models of gene expression and comparative genomic hybridization data. The package provides inference on copy number variations and their association with gene expression.

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Version

Install

install.packages('iBATCGH')

Monthly Downloads

73

Version

1.3.1

License

GPL-2

Maintainer

Alberto Cassese

Last Published

October 14th, 2020

Functions in iBATCGH (1.3.1)

InferenceR

Postprocessing - Inference on the association matrix
Center

Preprocessing - Center gene expression data
InferenceMu

Postprocessing - Inference on the vector of state specific mean
InferenceSd

Postprocessing - Inference on the vector of state specific sd
Inference

Postprocessing - Posterior Inference
InferenceA

Postprocessing - Inference on the transition matrix
InferenceXi

Postprocessing - Inference on the latent states
InitMu

Preprocessing - Initialize state specific mean vector
iBATProbit

Main - Probit selection prior
iBATCGH-package

Integrative Bayesian Analysis of Transcriptomic and CGH data
RListToVector

Internal function
iBAT

Main - Mixture selection prior
Tran

Preprocessing - Tran
Scenario2

Simulated data - Scenario 2
TCGA_lung

TCGA lung squamous cell carcinoma data
NCI_60

NCI-60 cancer cell lines data
InitXi

Preprocessing - Initialize matrix of latent states
Scenario1

Simulated data - Scenario 1