matrixPr_chain

Posterior probability for each entry in matrixZ to take
          value of 1 in each recorded iteration. Also a list of length 2. 
          Each element is a matrix of the same dimension with 
          matrixZ_chain[[1]] or [[2]].

datasets

This package implements a bayesian sparse factor model for
        the joint analysis of paired datasets, one is the gene
        expression dataset and the other is the drug sensitivity
        profiles, measured across the same panel of samples, e.g., cell
        lines. Prior knowledge about gene-pathway associations can be
        easily incorporated in the model to aid the inference of
        drug-pathway associations.

Haisu Ma

iFad

An integrative factor analysis model for drug-pathway
        association inference

matrixPr_chain function

The format is:
List of 2
 $ : num [1:5, 1:300] 0.09996 0.00958 0.04389 0.3874 0.11508 ...
 $ : num [1:5, 1:300] 1 1 1 1 1 ...

matrixPr_chain: The updated posterior probability for matrixZ1&Z2 during Gibbs sampling

Description

Usage

Arguments

format

Examples