A Bayesian approach to measure mRNA quality levels for microarray experiments. (14th July 2008)

• Record Type: Journal Article
• Authors: Khan, Hafiz M.R.; Faysel, Mohammad A.; Provost, Serge B.
• Is Part Of: International journal of medical engineering and informatics. Volume 1:Number 1(2008)
• Page Start: 125
• Page End: 133
• Publication Date: 2008-07-14
• Subjects: microarrays -- quality control indicators -- QCI -- Affymetrix -- probability models -- Bayesian approach -- posterior distribution -- predictive distribution -- mRNA quality levels -- medical informatics; 610.2805
• Languages: English
• ISSNs: 1755-0653

Abstract

In this paper, we focus our attention on a novel Bayesian approach to determine mRNA levels from quality control indicators (QCI), such as Background, Percent Present, Scale Factor GAPDH and ß-Actin. QCI data can be modelled as symmetrical and asymmetrical probability distributions. We discuss the identification of statistical probability models from QCI sample data sets as well as the derivation of mRNA predictive distributions by making use of a novel Bayesian approach in this context.