Bmc Bioinformatics, Margherita Mutarelli, Luigi Cicatiello, Lorenzo Ferraro, Olì Mv Grober, Maria Ravo, ...
Time-course analysis of genome-wide gene expression data from
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments (2008)
Angelini, Claudia, Cutillo, Luisa, De Canditiis, Daniela, Mutarelli, Margherita, Pensky, Marianna
Abstract Background Gene expression levels in a given cell can be influenced by different factors, namely pharmacological or medical treatments. The response to a given stimulus is usually different...
Luigi Cicatiello, Claudio Scafoglio, Angelo Facchiano, Margherita Mutarelli
Analysis of the estrogen-responsive transcriptome from breast cancer
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments. (2008)
Claudia Angelini, Luisa Cutillo, Daniela De Canditiis, Margherita Mutarelli, Marianna Pensky
BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in Angelini et at. (2006). The...
Margherita Mutarelli, Walter Basile, Luigi Cicatiello, Claudio Scafoglio, Giovanni Colonna, Weisz Angelo Facchiano
analysis with three different microarray platforms of the oestrogenresponsive transcriptome from breast cancer cells
Mutarelli, Margherita, Cicatiello, Luigi, Ferraro, Lorenzo, Grober, Olì MV, Ravo, Maria, Facchiano, Angelo M, ...
Abstract Background Microarray experiments enable simultaneous measurement of the expression levels of virtually all transcripts present in cells, thereby providing a ‘molecular picture’ of the...
BATS: a Bayesian user-friendly software for Analyzing Time Series (2008)
Bmc Bioinformatics, Claudia Angelini, Luisa Cutillo, Daniela De C, Margherita Mutarelli, Marianna Pensky, ...
Software
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments (2007)
Angelini, Claudia, De Canditiis, Daniela, Mutarelli, Margherita, Pensky, Marianna
The objective of the present paper is to develop a truly functional Bayesian method specifically designed for time series microarray data. The method allows one to identify differentially expressed...
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments (2007)
Angelini, Claudia, De Canditiis, Daniela, Mutarelli, Margherita, Pensky, Marianna
The objective of the present paper is to develop a truly functional Bayesian method specifically designed for time series microarray data. The method allows one to identify differentially expressed...
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments (2007)
Angelini, Claudia, De Canditiis, Daniela, Mutarelli, Margherita, Pensky, Marianna
The objective of the present paper is to develop a truly functional Bayesian method specifically designed for time series microarray data. The method allows one to identify differentially expressed...
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments (2007)
Angelini, Claudia, De Canditiis, Daniela, Mutarelli, Margherita, Pensky, Marianna
The objective of the present paper is to develop a truly functional Bayesian method specifically designed for time series microarray data. The method allows one to identify differentially expressed...
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments
Claudia Angelini, Daniela De Canditiis, Margherita Mutarelli, Marianna Pensky
The objective of the present paper is to develop a truly functional Bayesian method specifically designed for time series microarray data. The method allows one to identify differentially expressed...
Mutarelli, Margherita, Cicatiello, Luigi, Ferraro, Lorenzo, Grober, Olì MV, Ravo, Maria, Facchiano, Angelo M, ...
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
Angelini, Claudia, Cutillo, Luisa, De Canditiis, Daniela, Mutarelli, Margherita, Pensky, Marianna
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments
Claudia Angelini, Daniela De Canditiis, Margherita Mutarelli, Marianna Pensky
The objective of the present paper is to develop a truly functional Bayesian method specifically designed for time series microarray data. The method allows one to identify differentially expressed...