A mixture model approach for the analysis of small exploratory microarray experiments

DOI10.1016/j.csda.2008.06.011zbMath1453.62161OpenAlexW2001916213WikidataQ37168864 ScholiaQ37168864MaRDI QIDQ961306

B. E. Eshmatov

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2673015

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Related Items (1)

Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide

Uses Software

• EBarrays

Cites Work

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• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• Detecting differential gene expression with a semiparametric hierarchical mixture method
• A Bayesian Mixture Model for Differential Gene Expression
• A new look at the statistical model identification

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