Bhattacharyya distance for identifying differentially expressed genes in colon gene experiments
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tian, X.W. | - |
dc.contributor.author | Lim, J.S. | - |
dc.date.available | 2020-02-29T01:41:47Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/14949 | - |
dc.description.abstract | Identify a small number of differentially expressed genes for accurate classification of gene samples is essential for the development of diagnostic tests. We present an approach for cancer molecular feature selection method based on their gene expression profiles. Tumor and normal colon tissues were classified in this research. The Bhattacharyya distance was used as the gene selection method to identify the small number of differentially expressed genes for the colon cancer analysis. Finally we selected 7 genes for the colon cancer analysis with 95.16% accuracy by using a fuzzy neural networks classifier. Compare with other colon cancer analysis results, our method selected the smallest number of differentially expressed genes and get the highest classification accuracy. © 2013 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.relation.isPartOf | 2013 International Conference on Information Science and Applications, ICISA 2013 | - |
dc.subject | Bhattacharyya distance | - |
dc.subject | Classification accuracy | - |
dc.subject | colon | - |
dc.subject | Diagnostic tests | - |
dc.subject | Differentially expressed gene | - |
dc.subject | Gene expression profiles | - |
dc.subject | Gene selection | - |
dc.subject | Molecular feature | - |
dc.subject | Fuzzy neural networks | - |
dc.subject | Gene expression | - |
dc.subject | Information science | - |
dc.subject | Diseases | - |
dc.title | Bhattacharyya distance for identifying differentially expressed genes in colon gene experiments | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.1109/ICISA.2013.6579506 | - |
dc.identifier.bibliographicCitation | 2013 International Conference on Information Science and Applications, ICISA 2013 | - |
dc.identifier.scopusid | 2-s2.0-84883757312 | - |
dc.citation.title | 2013 International Conference on Information Science and Applications, ICISA 2013 | - |
dc.contributor.affiliatedAuthor | Tian, X.W. | - |
dc.contributor.affiliatedAuthor | Lim, J.S. | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | bhattacharyya distance | - |
dc.subject.keywordAuthor | colon | - |
dc.subject.keywordAuthor | differentially expressed genes | - |
dc.subject.keywordAuthor | fuzzy neural networks | - |
dc.subject.keywordAuthor | gene expression profiles | - |
dc.subject.keywordPlus | Bhattacharyya distance | - |
dc.subject.keywordPlus | Classification accuracy | - |
dc.subject.keywordPlus | colon | - |
dc.subject.keywordPlus | Diagnostic tests | - |
dc.subject.keywordPlus | Differentially expressed gene | - |
dc.subject.keywordPlus | Gene expression profiles | - |
dc.subject.keywordPlus | Gene selection | - |
dc.subject.keywordPlus | Molecular feature | - |
dc.subject.keywordPlus | Fuzzy neural networks | - |
dc.subject.keywordPlus | Gene expression | - |
dc.subject.keywordPlus | Information science | - |
dc.subject.keywordPlus | Diseases | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.