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Paper Abstract and Keywords
Presentation 2015-06-24 11:25
Repulsive parallel MCMC algorithm for discovering diverse motifs from large sequence sets.
Hisaki Ikebata (SOKENDAI), Ryo Yoshida (ISM) IBISML2015-19
Abstract (in Japanese) (See Japanese page) 
(in English) It is important to predict TFBSs (transcription factor binding sites) for the elucidation of the mechanism in gene regulation. TFBSs are consist of around 10-base-pair pattern, which are called motifs. Newly proposed algorithms for large datasets specialize in reducing the computation time. However they sacrifice the accuracy of motif detection because they use heuristics for speeding up. In our research, we propose parallel Markov chain Monte Carlo algorithm to obtain diverse motifs efficiently.
Keyword (in Japanese) (See Japanese page) 
(in English) Markov chain Monte Carlo method / motif discovery problem / large datasets / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 112, IBISML2015-19, pp. 143-147, June 2015.
Paper # IBISML2015-19 
Date of Issue 2015-06-16 (IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IBISML2015-19

Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2015-06-23 - 2015-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To IBISML 
Conference Code 2015-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Repulsive parallel MCMC algorithm for discovering diverse motifs from large sequence sets. 
Sub Title (in English)  
Keyword(1) Markov chain Monte Carlo method  
Keyword(2) motif discovery problem  
Keyword(3) large datasets  
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1st Author's Name Hisaki Ikebata  
1st Author's Affiliation SOKENDAI (SOKENDAI)
2nd Author's Name Ryo Yoshida  
2nd Author's Affiliation The Institute of Statistical Mathematics (ISM)
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Speaker Author-1 
Date Time 2015-06-24 11:25:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2015-19 
Volume (vol) vol.115 
Number (no) no.112 
Page pp.143-147 
#Pages 5 
Date of Issue 2015-06-16 (IBISML) 

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