View Full Document

MODELING CELLULAR PROCESSES WITH VARIATIONAL BAYESIAN COOPERATIVE VECTOR QUANTIZER



View the full content.
View Full Document
View Full Document

1 views

Unformatted text preview:

MODELING CELLULAR PROCESSES WITH VARIATIONAL BAYESIAN COOPERATIVE VECTOR QUANTIZER X LU1 2 4 M HAUSKRECHT2 and R S DAY3 Center for Biomedical Informatics 2 Dept of Computer Science 3 Dept of Biostatistics University of Pittsburgh 4 Dept of Biometry and Epidemiology Medical University of South Carolina email lux musc edu a milos cs pitt edu day upci pitt edu 1 Abstract Gene expression of a cell is controlled by sophisticated cellular processes The capability of inferring the states of these cellular processes would provide insight into the mechanism of gene expression control system In this paper we propose and investigate the cooperative vector quantizer CVQ model for analysis of microarray data The CVQ model could be capable of decomposing observed microarray data into many different regulatory subprocesses To make the CVQ analysis tractable we develop and apply variational approximations Bayesian model selection is employed in the model so that the optimal number processes is determined purely from observed micro array data We test the model and algorithms on two datasets 1 simulated gene expression data and 2 real world yeast cell cycle microarray data The results illustrate the ability of the CVQ approach to recover and characterize regulatory gene expression subprocesses indicating a potential for advanced gene expression data analysis 1 Introduction Current DNA microarray technology allows scientists to monitor gene expression at genome level Although microarray data are not direct measurements of activity of cellular processes or signal transduction pathways they provide opportunities to infer the states of the cellular processes and study the mechanism of gene expression control at the system level When a cell is subjected to different conditions the states of the processes controlling gene expression change accordingly and result in different gene expression patterns One important task for system biologists is to identify the cellular processes controlling



Access the best Study Guides, Lecture Notes and Practice Exams

Loading Unlocking...
Login

Join to view MODELING CELLULAR PROCESSES WITH VARIATIONAL BAYESIAN COOPERATIVE VECTOR QUANTIZER and access 3M+ class-specific study document.

or
We will never post anything without your permission.
Don't have an account?
Sign Up

Join to view MODELING CELLULAR PROCESSES WITH VARIATIONAL BAYESIAN COOPERATIVE VECTOR QUANTIZER and access 3M+ class-specific study document.

or

By creating an account you agree to our Privacy Policy and Terms Of Use

Already a member?