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 2.1 Index]