transparent gif


Ej inloggad.

Göteborgs universitets publikationer

A New Order Estimator for Fixed and Variable Length Markov Models with Applications to DNA Sequence Similarity

Författare och institution:
Daniel Dalevi (Institutionen för data- och informationsteknik, Datavetenskap, Bioinformatik (Chalmers), Chalmers); Devdatt Dubhashi (Institutionen för data- och informationsteknik, Datavetenskap (Chalmers), Chalmers); Malte Hermansson (Institutionen för cell- och molekylärbiologi)
Publicerad i:
Statistical Applications in Genetics and Molecular Biology, 5 ( 1 ) s. i-24
Artikel, refereegranskad vetenskaplig
Sammanfattning (abstract):
Recently Peres and Shields discovered a new method for estimating the order of a stationary fixed order Markov chain. They showed that the estimator is consistent by proving a threshold result. While this threshold is valid asymptotically in the limit, it is not very useful for DNA sequence analysis where data sizes are moderate. In this paper we give a novel interpretation of the Peres-Shields estimator as a sharp transition phenomenon. This yields a precise and powerful estimator that quickly identifies the core dependencies in data. We show that it compares favorably to other estimators, especially in the presence of variable dependencies. Motivated by this last point, we extend the Peres-Shields estimator to Variable Length Markov Chains. We compare it to a well-established estimator and show that it is superior in terms of the predictive likelihood. We give an application to the problem of detecting DNA sequence similarity in plasmids. Copyright ©2006 The Berkeley Electronic Press. All rights reserved.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
Biologiska vetenskaper ->
Bioinformatik och systembiologi
computational biology/bioinformatics, statistical models, statistical theory and methods
Ytterligare information:
Article 8.
Postens nummer:
Posten skapad:
2008-01-08 14:28
Posten ändrad:
2016-06-17 10:48

Visa i Endnote-format

Göteborgs universitet • Tel. 031-786 0000
© Göteborgs universitet 2007