BATS & Related Papers

C. Angelini, D. De Canditiis, M. Mutarelli, M. Pensky. A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments, Statistical Applications in Genetics and Molecular Biology: vol 6 : Iss. 1, Article 24, (2007).

M. Mutarelli, L. Cicatiello, M. Ravo, O.M.V. Grober, A. Facchiano, C. Angelini, A. Weisz. Time course whole-genome microarray analysis of estrogen effects on hormone-responsive breast cancer cells, BMC Bioinformatics, vol 9: Suppl 2, S.12 (2008)

BATS & Presentations

C. Angelini, L. Cutillo, D. De Canditiis, M. Mutarelli, M. Pensky (2007). BATS: A User-Friendly software for analyzing time series microarray data. (Talk at BITS2007, April 2007, Naples, Italy)

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

Bayesian Analysis for Time Series

Microarray Experiments

C. Angelini, D. De Canditiis, M. Pensky. Estimation and Testing in Time-course Microarray Experiments. In Bayesian Modeling in Bioinformatics, pp1-27, Chapman & Hall/CRC Biostatistics Series,  (2010)

C. Angelini, L. Cutillo, D. De Canditiis, M. Mutarelli, M. Pensky. BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments, BMC Bioinformatics 2008, 9:415

C. Angelini, D. De Canditiis, M. Pensky. Bayesian models for the two-sample time-course microarray experiments. Computational Statistics & Data Analysis. Volume 53, Issue 5, March, 2009
Pages 1547-1565

C. Angelini, D. De Canditiis, M. Pensky, Bayesian models for the analysis of multi-sample time-course microarray experiments. Lecture Notes in Bioinformatics, 7548, pp. 21-35, (2012)

 

C. Angelini, D. De Canditiis, M. Pensky, Bayesian methods for Time-course microarray analysis: from genes’ detection to clustering. in Studies in Theoretical and Applied Statistics, Springer, pp 47-56, (2012).

C. Angelini, L. Cutillo, D. De Canditiis, M. Mutarelli, M. Pensky. BATS: A Bayesian user friendly Software for analyzing time series microarray experiments. (Talk at BioInfoGRID Symposium 2007, Milan 10-13 December, 2007)

C. Angelini, D. De Canditiis, M. Pensky. Clustering Time-Course Microarray Data Using Functional Bayesian Infinite Mixture Model. Journal of Applied Statistics, 39, 129-149, (2012)