plotConvergence

title


Plot the marginal log-likelihood of the model along MCMC samples (after thinning).


Expression levels of mRNA molecules are regulated by
different processes, comprising inhibition or activation by
transcription factors and post-transcriptional degradation by
microRNAs. biRte uses regulatory networks of TFs, miRNAs and
possibly other factors, together with mRNA, miRNA and other
available expression data to predict the relative influence of
a regulator on the expression of its target genes. Inference is
done in a Bayesian modeling framework using
Markov-Chain-Monte-Carlo. A special feature is the possibility
for follow-up network reverse engineering between active
regulators.

Holger Froehlich

birte

Bayesian Inference of Regulatory Influence on Expression (biRte)

plotConvergence function

Plot the marginal log-likelihood of the model along MCMC samples (after thinning).

plotConvergence: Plot the marginal log-likelihood of the model along MCMC samples (after thinning).

Description

Usage

Arguments

Value

See Also

Examples