By Topic

Stochastic Complexity for the Detection of Periodically Expressed Genes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Giurcaneanu, C.D. ; Tampere Univ. of Technol., Tampere

The problem we address in this study is to decide, based on the available measurements, if a particular gene exhibits a periodic behavior. To this end we propose a principled method relying on the Stochastic Complexity (SC) whose computation is discussed for the generalized Gaussian distribution. We also investigate the relationship between SC, the well-known Minimum Description Length (MDL) formula, and the Bayesian Information Criterion (BIC). The performances of the SC-based approach are compared for simulated and real data with methods that are widely accepted in the bioinformatics community.

Published in:

Genomic Signal Processing and Statistics, 2007. GENSIPS 2007. IEEE International Workshop on

Date of Conference:

10-12 June 2007