TY - GEN
T1 - Analysis of microarray titration experiments
AU - Bebu, Ionut
AU - Seillier-Moiseiwitsch, Françoise
AU - Liu, Hongfang
PY - 2008
Y1 - 2008
N2 - In this paper we introduce a novel approach for the analysis of microarray titration experiments. The test introduced here can be used more generally for drug-dosage effect or time effect for a drug treatment. It is based on a multivariate version of Fieller's theorem for testing ratios of normal means. The procedure is illustrated using data on mixtures of RNA samples from the MAQC project. Different background-correction methods and normalization methods are compared using this approach. Titration samples, obtained by mixing known proportions of independent samples, are important in the study of reliability and consistency of the microarray technology.
AB - In this paper we introduce a novel approach for the analysis of microarray titration experiments. The test introduced here can be used more generally for drug-dosage effect or time effect for a drug treatment. It is based on a multivariate version of Fieller's theorem for testing ratios of normal means. The procedure is illustrated using data on mixtures of RNA samples from the MAQC project. Different background-correction methods and normalization methods are compared using this approach. Titration samples, obtained by mixing known proportions of independent samples, are important in the study of reliability and consistency of the microarray technology.
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M3 - Conference contribution
AN - SCOPUS:62649126239
SN - 1601320558
SN - 9781601320551
T3 - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
SP - 942
EP - 946
BT - Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
T2 - 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Y2 - 14 July 2008 through 17 July 2008
ER -