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| 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 |
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| 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 | 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 | NC2018-37 |
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| 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 |
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| 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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| Speaker | Author-1 |
| Date Time | 2018-12-15 15:30:00 |
| Presentation Time | 15 minutes |
| Registration for | NC |
| Paper # | NC2018-37 |
| Volume (vol) | vol.118 |
| Number (no) | no.367 |
| Page | pp.51-55 |
| #Pages | 5 |
| Date of Issue | 2018-12-08 (NC) |
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