We are grateful to Santosh Anand , Umberto Amato, Angelo Facchiano and Alessandro Weisz for their constructive comments.



This work was supported in part by CNR-Bioinformatics Project, CNR DG.RSTL.004.002 Project, CNR-Short Term 2008, Oncoproteomics Project Conv.n. 527B/2A/10, by US National Science Foundation grants DMS-0505133 and DMS-0652524, by Post-doctoral Fellowship of the Second University of Naples and by AIRC.

A user friendly software for Bayesian Analysis of Time Series Microarray Experiments.

Bayesian Analysis for Time Series

Microarray Experiments