Comparison of various statistical methods for identifying differential gene expression in replicated microarray data

DOI10.1191/0962280206SM423OAzbMath1115.62115OpenAlexW2170214198WikidataQ31032336 ScholiaQ31032336MaRDI QIDQ3429916

Jae Won Lee, In Suk Sohn, Seo Young Kim

Publication date: 20 March 2007

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/0962280206sm423oa

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Related Items (2)

An optimal choice of window width for LOWESS normalization of microarray data ⋮ New normalization methods using support vector machine quantile regression approach in microarray analysis

Cites Work

• Significance analysis of microarrays applied to the ionizing radiation response
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Empirical Bayes Analysis of a Microarray Experiment
• Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations
• A Direct Approach to False Discovery Rates

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