Analysis of microarray titration experiments

Ionut Bebu, Françoise Seillier-Moiseiwitsch, Hongfang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
Pages942-946
Number of pages5
StatePublished - Dec 1 2008
Event2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 - Las Vegas, NV, United States
Duration: Jul 14 2008Jul 17 2008

Publication series

NameProceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008

Other

Other2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008
CountryUnited States
CityLas Vegas, NV
Period7/14/087/17/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Biomedical Engineering
  • Health Informatics

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