cswHMM: a novel context switching hidden Markov model for biological sequence analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00059376" target="_blank" >RIV/00216224:14330/12:00059376 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0003780902080213" target="_blank" >http://dx.doi.org/10.5220/0003780902080213</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0003780902080213" target="_blank" >10.5220/0003780902080213</a>
Alternative languages
Result language
angličtina
Original language name
cswHMM: a novel context switching hidden Markov model for biological sequence analysis
Original language description
In this work we created a sequence model that goes beyond simple linear patterns to model a specific type of higher-order relationship possible in biological sequences. Particularly, we seek models that can account for partially overlaid and interleavedpatterns in biological sequences. Our proposed context-switching model (cswHMM) is designed as a variable-order hidden Markov model (HMM) with a specific structure that allows switching control between two or more sub-models.Tests of this approach suggest that a combination of HMMs for protein sequence analysis, such as pattern mining based HMMs or profile HMMs, with the context-switching approach can improve the descriptive ability and performance of the models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LA09016" target="_blank" >LA09016: Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms.
ISBN
9789898425904
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
208-213
Publisher name
SciTePress
Place of publication
Neuveden
Event location
Algarve, Portugal
Event date
Feb 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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