On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data

We consider the problem of inferring fold changes in gene expression from cDNA microarray data. Standard procedures focus on the ratio of measured fluorescent intensities at each spot on the microarray, but to do so is to ignore the fact that the variation of such ratios is not constant. Estimates o...

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Veröffentlicht in:	Journal of computational biology 2001-01, Vol.8 (1), p.37-52
Hauptverfasser:	Newton, M A, Kendziorski, C M, Richmond, C S, Blattner, F R, Tsui, K W
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Escherichia coli - genetics Gene Expression Gene Expression Profiling - methods Models, Statistical Models, Theoretical Oligonucleotide Array Sequence Analysis - methods
Online-Zugang:	Volltext
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