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Paper Abstract and Keywords
Presentation 2020-03-10 09:55
A method foe estimating gene regulatory networks based on multiple source of information about regulatory relationships
Haga Cham, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.) NLP2019-124
Abstract (in Japanese) (See Japanese page) 
(in English) Gene regulatory networks play an important role in the expression and activities of genes, where specific proteins and genes promote or suppress the expression of other genes through a chemical reaction. In this report, we focus on a method for reconstructing gene regulatory networks from multiple data sources including different types of information, such as the expression of genes and interactions between genes and proteins. We focus on the method called PANDA (Passing Attributes between Networks for Data Assimilation) and propose a method for estimating gene regulatory networks, incorporating a partial correlation technique to PANDA. Our results show that the proposed method can obtain more accurate gene regulatory networks than PANDA.
Keyword (in Japanese) (See Japanese page) 
(in English) Gene regulatory networks / Partial correlation analysis / Gene expression data / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 471, NLP2019-124, pp. 65-70, March 2020.
Paper # NLP2019-124 
Date of Issue 2020-03-02 (NLP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee MSS NLP  
Conference Date 2020-03-09 - 2020-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) SICE-DES, IEICE-MSS, IEICE-NLP 
Paper Information
Registration To NLP 
Conference Code 2020-03-MSS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A method foe estimating gene regulatory networks based on multiple source of information about regulatory relationships 
Sub Title (in English)  
Keyword(1) Gene regulatory networks  
Keyword(2) Partial correlation analysis  
Keyword(3) Gene expression data  
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1st Author's Name Haga Cham  
1st Author's Affiliation Saitama University (Saitama Univ.)
2nd Author's Name Yutaka Shimada  
2nd Author's Affiliation Saitama University (Saitama Univ.)
3rd Author's Name Takaomi Shigehara  
3rd Author's Affiliation Saitama University (Saitama Univ.)
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Speaker
Date Time 2020-03-10 09:55:00 
Presentation Time 25 
Registration for NLP 
Paper # IEICE-NLP2019-124 
Volume (vol) IEICE-119 
Number (no) no.471 
Page pp.65-70 
#Pages IEICE-6 
Date of Issue IEICE-NLP-2020-03-02 


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