A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments

DOI10.2202/1544-6115.1299zbMath1166.62327OpenAlexW1970390603WikidataQ40073388 ScholiaQ40073388MaRDI QIDQ5443059

Margherita Mutarelli, Claudia Angelini, Daniela de Canditiis, Marianna Pensky

Publication date: 18 February 2008

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=7833&context=facultybib2000

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items (4)

Differential Expression and Network Inferences through Functional Data Modeling ⋮ Clustering time-course microarray data using functional Bayesian infinite mixture model ⋮ Bayesian models for two-sample time-course microarray experiments ⋮ A structural mixed model to shrink covariance matrices for time-course differential gene expression studies

Uses Software

• MAANOVA
• limma
• EDGE

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