est.varmixt: Variance Mixture Estimation

In anapuce: Tools for Microarray Data Analysis

Description

Performs variance mixture analysis

Usage

est.varmixt(VAR, Kmax, dfreedom)

Arguments

VAR	vector of estimated variance.
Kmax	maximal number of variance components.
dfreedom	degrees of freedom of the estimated variance.

Value

a LIST with the following components :

BIC.crit	value of the BIC criterion
p.i	the probability of each variance component
vars	variances
loglike	value of the criterion based on Loglikelihood
nmixt	number of variance components
tau	the matrix of posterior probability that a gene belongs to each variance component. One row per gene, one column per variance component.
VM2	the variance attributed to each gene according to the MAP rule - Delmar et al. (2005) JRSS
VM	the variance attributed to each gene taking into account the tau values - Delmar et al. (2005) Bioinformatics

Author(s)

M-L Martin-Magniette and J. Aubert

References

Delmar P, Robin S, Le Roux D, Daudin J.J (2005), Mixture model on the variance for the differential analysis of gene expression, JRSS series C, 54:1, 31-50.

Delmar P, Robin S, Daudin J.J (2005), VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data, Bioinformatics, 21(4), 502-8.

See Also

DiffAnalysis,DiffAnalysis.unpaired

anapuce documentation built on May 2, 2019, 9:44 a.m.