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Updated: Jun 18, 2026

Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
Published on: June 15, 2016
Intensity dependent confidence intervals on microarray measurements of differentially expressed genes: a case study
Werner Van Belle1, Nancy Gerits, Kirsti Jakobsen
1Department of Microbiology and Virology, Section Virology, Faculty of Medicine, University of Tromsø, Norway. werner@sigtrans.org
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.

