Description Usage Arguments Value Author(s) References See Also
Performs variance mixture analysis
1 | est.varmixt(VAR, Kmax, dfreedom)
|
VAR |
vector of estimated variance. |
Kmax |
maximal number of variance components. |
dfreedom |
degrees of freedom of the estimated variance. |
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 |
M-L Martin-Magniette and J. Aubert
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.
DiffAnalysis
,DiffAnalysis.unpaired
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.