fit.em

A numeric vector, especially expression values for a particular gene.

A vector of 0s and 1s. Use 1 for normal phenotype and 0 for
    non-normal phenotype. Note that this is the opposite of POE MCMC.
    If all samples are of unknown phenotype or of the same one, give
    vector of zeros. When class information is provided, conditional estimation of the mixture 
    is applied.

threshold

This core function fits two-component normal-uniform mixture
  distribution, and extracts probability of over/under expression for all samples in all genes.

internal

1) Data transformation for meta-analysis of microarray
        Data: Transformation of gene expression data to signed
        probability scale (MCMC/EM methods) 2) Combined differential
        expression on raw scale: Weighted Z-score after stabilizing
        mean-variance relation within platform

Hyungwon Choi

metaArray

Integration of Microarray Data for Meta-analysis

fit.em function

Probability of expresison from mixture distribution for a single gene.

expr

sigmasq

Probability that the gene is over/under expressed on
    average across the samples

fit.em: Probability of expresison from mixture distribution for a single gene.

Description

Usage

Arguments

Value