Integrative Bayesian Analysis of Transcriptomic and CGH Data


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Documentation for package ‘iBATCGH’ version 1.3.1

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iBATCGH-package Integrative Bayesian Analysis of Transcriptomic and CGH data
Center Preprocessing - Center gene expression data
iBAT Main - Mixture selection prior
iBATCGH Integrative Bayesian Analysis of Transcriptomic and CGH data
iBATProbit Main - Probit selection prior
Inference Postprocessing - Posterior Inference
InferenceA Postprocessing - Inference on the transition matrix
InferenceMu Postprocessing - Inference on the vector of state specific mean
InferenceR Postprocessing - Inference on the association matrix
InferenceSd Postprocessing - Inference on the vector of state specific sd
InferenceXi Postprocessing - Inference on the latent states
InitMu Preprocessing - Initialize state specific mean vector
InitXi Preprocessing - Initialize matrix of latent states
NCI_60 NCI-60 cancer cell lines data
RListToVector Internal function
Scenario1 Simulated data - Scenario 1
Scenario2 Simulated data - Scenario 2
TCGA_lung TCGA lung squamous cell carcinoma data
Tran Preprocessing - Tran