A Bayesian approach to measure mRNA quality levels for microarray experiments
by Hafiz M.R. Khan, Mohammad A. Faysel, Serge B. Provost
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 1, No. 1, 2008

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.

Online publication date: Sun, 13-Jul-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com