title: Intensity dependent confidence intervals on microarray measurements of differentially expressed genes: a case study of the effect of MK5, FKRP and TAF4 on the transcriptome.
abstract: To perform a quantitative analysis with gene-arrays, one must take into account inaccuracies (experimental variations, biological variations and other measurement errors) which are seldom known. In this paper we investigated amplification and noise propagation related errors by measuring intensity dependent variations. Based on a set of control samples, we create confidence intervals for up and down regulations. We validated our method through a qPCR experiment and compared it to standard analysis methods (including loess normalization and filtering methods based on genetic variability). The results reveal that amplification related errors are a major concern.
authors: Department of Microbiology and Virology, Section Virology, Faculty of Medicine, University of Tromsø, Norway. werner@sigtrans.org
authors: Werner
authors: W
authors: Van Belle
authors: Nancy
authors: N
authors: Gerits
authors: Kirsti
authors: K
authors: Jakobsen
authors: Vigdis
authors: V
authors: Brox
authors: Marijke
authors: M
authors: Van Ghelue
authors: Ugo
authors: U
authors: Moens