Analysis of variance components in gene expression data

Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and technical variation. This study presents a variance-components approach to investigating animal-to-animal, between-array,...

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Veröffentlicht in:	Bioinformatics 2004-06, Vol.20 (9), p.1436-1446
Hauptverfasser:	Chen, James J., Delongchamp, Robert R., Tsai, Chen-An, Hsueh, Huey-miin, Sistare, Frank, Thompson, Karol L., Desai, Varsha G., Fuscoe, James C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis of Variance Base Sequence Biological and medical sciences Fundamental and applied biological sciences. Psychology Gene Expression Profiling - methods General aspects Genetic Variation - genetics Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Models, Genetic Models, Statistical Molecular Sequence Data Oligonucleotide Array Sequence Analysis - methods Reproducibility of Results Sensitivity and Specificity Sequence Alignment - methods Sequence Analysis, DNA - methods
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