Should We Abandon the t-Test in the Analysis of Gene Expression Microarray Data: A Comparison of Variance Modeling Strategies

High-throughput post-genomic studies are now routinely and promisingly investigated in biological and biomedical research. The main statistical approach to select genes differentially expressed between two groups is to apply a t-test, which is subject of criticism in the literature. Numerous alterna...

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Veröffentlicht in:	PloS one Jg. 5; H. 9; S. e12336
Hauptverfasser:	Jeanmougin, Marine, de Reynies, Aurelien, Marisa, Laetitia, Paccard, Caroline, Nuel, Gregory, Guedj, Mickael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 03.09.2010 Public Library of Science (PLoS)
Schlagworte:	Analysis of Variance Applied mathematics Bioinformatics Breast cancer Cancer Comparative analysis Computer Simulation Control methods Data processing DNA microarrays Gene expression Gene Expression Profiling - statistics & numerical data Genes Genetics and Genomics/Bioinformatics Genetics and Genomics/Gene Expression Genomes Genomics Head & neck cancer Leukemia Lymphoma Mathematics Mathematics/Statistics Metastasis Modelling Models, Statistical Molecular Biology/Bioinformatics Oligonucleotide Array Sequence Analysis - statistics & numerical data Power Probability Statistics Student's t-test Studies Variance Variance analysis France
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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