est.varmixt {anapuce}R Documentation

Variance Mixture Estimation

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


[Package anapuce version 2.3 Index]