em.draw

A numeric vector, especially a particular row of expression matrix

A vector of 0s and 1s. Use 1 for normal phenotype and 0 for
    non-normal phenotype. If left blank, all samples will be labeled as
    normal phenotype. Normal component of mixture is estimated using
    samples with normal phenotype only. POE for samples with non-normal
    phenotype will be calculated after EM algorithm finishes ML estimation.

Crieterion for convergence in likelihood.

threshold

Given a numeric vector, a plot of four panels is drawn:
    1) fitted mixture distribution
    2) transformed expression against original expression
    3) histogram of original expression 
    4) progression of log-likelihood during the fit

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

em.draw: Plot of transformed expression produced by EM algorithm

Description

Usage

Arguments

Value