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Paper Abstract and Keywords
Presentation 2018-12-15 15:30
Proposal of Analysis Accuracy Improvement Method by Logistic Regression in Single Nucleotide Polymorphism Analysis Using Next-Generation Sequencer
Ginji Azuma (Kindai Univ.), Atsushi Takahashi (NCVC), Naoki Ohboshi (Kindai Univ.) NC2018-37
Abstract (in Japanese) (See Japanese page) 
(in English) Single nucleotide polymorphisms are known to be related to phenotypes, and analysis is actively performed. However, the analysis result contains many erroneously detected mutation information. In this study, simulated genomic data was made as known results. Single nucleotide polymorphism analysis was performed for simulated data, and analysis results were learned by simulated data as supervised learning data by logistic regression. It is suggested that accuracy can be improved with filtering the mutation information by the obtained logistic regression model.
Keyword (in Japanese) (See Japanese page) 
(in English) Next-Generation Sequencer / SNP Analysis / Logistic regression / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 367, NC2018-37, pp. 51-55, Dec. 2018.
Paper # NC2018-37 
Date of Issue 2018-12-08 (NC) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 NC2018-37

Conference Information
Committee NC MBE  
Conference Date 2018-12-15 - 2018-12-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagoya Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2018-12-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Proposal of Analysis Accuracy Improvement Method by Logistic Regression in Single Nucleotide Polymorphism Analysis Using Next-Generation Sequencer 
Sub Title (in English)  
Keyword(1) Next-Generation Sequencer  
Keyword(2) SNP Analysis  
Keyword(3) Logistic regression  
1st Author's Name Ginji Azuma  
1st Author's Affiliation Kindai University Graduate School (Kindai Univ.)
2nd Author's Name Atsushi Takahashi  
2nd Author's Affiliation National Cerebral and Cardiovascular Center (NCVC)
3rd Author's Name Naoki Ohboshi  
3rd Author's Affiliation Kindai University Graduate School (Kindai Univ.)
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Date Time 2018-12-15 15:30:00 
Presentation Time 15 
Registration for NC 
Paper # IEICE-NC2018-37 
Volume (vol) IEICE-118 
Number (no) no.367 
Page pp.51-55 
#Pages IEICE-5 
Date of Issue IEICE-NC-2018-12-08 

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