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Stochastic Complexity for the Detection of Periodically Expressed Genes

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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

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