DNA microarray data clustering by hidden markov models and Bayesian information criterion

DNA microarray data clustering by hidden markov models and Bayesian information criterion

In this study, the microarray data under diauxic shift condition of Saccharomyces Cerevisiae was considered. The objective of this study is to propose another strategy of cluster analysis for gene expression levels under time-series conditions. The continuous hidden markov model was newly proposed t...

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Main Authors: Charoenkwan P., Manorat A., Chaijaruwanich J., Prasitwattanaseree S., Bhumiratana S.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-33749419223&partnerID=40&md5=4d6cacf5d7bad2b1ac613b8c37a672a4
http://cmuir.cmu.ac.th/handle/6653943832/5067
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-50672014-08-30T02:56:07Z DNA microarray data clustering by hidden markov models and Bayesian information criterion Charoenkwan P. Manorat A. Chaijaruwanich J. Prasitwattanaseree S. Bhumiratana S. In this study, the microarray data under diauxic shift condition of Saccharomyces Cerevisiae was considered. The objective of this study is to propose another strategy of cluster analysis for gene expression levels under time-series conditions. The continuous hidden markov model was newly proposed to select genes which significantly expressed. Then, new approach of hidden markov model clustering was proposed to include Bayesian information criterion technique which helped to determine the size of model. The result of this technique provided a good quality of clustering from gene expression patterns. © Springer-Verlag Berlin Heidelberg 2006. 2014-08-30T02:56:07Z 2014-08-30T02:56:07Z 2006 Conference Paper 3540370250; 9783540370253 03029743 68257 http://www.scopus.com/inward/record.url?eid=2-s2.0-33749419223&partnerID=40&md5=4d6cacf5d7bad2b1ac613b8c37a672a4 http://cmuir.cmu.ac.th/handle/6653943832/5067 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description In this study, the microarray data under diauxic shift condition of Saccharomyces Cerevisiae was considered. The objective of this study is to propose another strategy of cluster analysis for gene expression levels under time-series conditions. The continuous hidden markov model was newly proposed to select genes which significantly expressed. Then, new approach of hidden markov model clustering was proposed to include Bayesian information criterion technique which helped to determine the size of model. The result of this technique provided a good quality of clustering from gene expression patterns. © Springer-Verlag Berlin Heidelberg 2006.
format Conference or Workshop Item
author Charoenkwan P.
Manorat A.
Chaijaruwanich J.
Prasitwattanaseree S.
Bhumiratana S.
spellingShingle Charoenkwan P.
Manorat A.
Chaijaruwanich J.
Prasitwattanaseree S.
Bhumiratana S.
DNA microarray data clustering by hidden markov models and Bayesian information criterion
author_facet Charoenkwan P.
Manorat A.
Chaijaruwanich J.
Prasitwattanaseree S.
Bhumiratana S.
author_sort Charoenkwan P.
title DNA microarray data clustering by hidden markov models and Bayesian information criterion
title_short DNA microarray data clustering by hidden markov models and Bayesian information criterion
title_full DNA microarray data clustering by hidden markov models and Bayesian information criterion
title_fullStr DNA microarray data clustering by hidden markov models and Bayesian information criterion
title_full_unstemmed DNA microarray data clustering by hidden markov models and Bayesian information criterion
title_sort dna microarray data clustering by hidden markov models and bayesian information criterion
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-33749419223&partnerID=40&md5=4d6cacf5d7bad2b1ac613b8c37a672a4
http://cmuir.cmu.ac.th/handle/6653943832/5067
_version_ 1681420355429728256

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