Fuzzy k-nearest neighbor method for protein secondary structure prediction and its parallel implementation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, SY | - |
dc.contributor.author | Sim, J | - |
dc.contributor.author | Lee, J | - |
dc.date.available | 2019-04-10T11:37:21Z | - |
dc.date.created | 2018-04-18 | - |
dc.date.issued | 2006-08 | - |
dc.identifier.isbn | 3540372776 | - |
dc.identifier.issn | 1460-2059 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/33874 | - |
dc.description.abstract | Fuzzy k-nearest neighbor method is a generalization of nearest neighbor method, the simplest algorithm for pattern classification. One of the important areas for application of the pattern classification is the protein secondary structure prediction, an important topic in the field of bioinformatics. In this work, we develop a parallel algorithm for protein secondary structure prediction, based on the fuzzy k-nearest neighbor method, that uses evolutionary profile obtained from PSI-BLAST (Position Specific Iterative Basic Local Sequence Alignment Tool) as the feature vectors. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer | - |
dc.relation.isPartOf | COMPUTATIONAL INTELLIGENCE AND BIOINFORMATICS, PT 3, PROCEEDINGS | - |
dc.title | Fuzzy k-nearest neighbor method for protein secondary structure prediction and its parallel implementation | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | International Conference on Intelligent Computing, ICIC 2006, v.4115, pp.444 - 453 | - |
dc.description.journalClass | 2 | - |
dc.identifier.wosid | 000240085400048 | - |
dc.identifier.scopusid | 2-s2.0-33749575594 | - |
dc.citation.conferenceDate | 2006-08-16 | - |
dc.citation.conferencePlace | GE | - |
dc.citation.conferencePlace | Kunming | - |
dc.citation.endPage | 453 | - |
dc.citation.startPage | 444 | - |
dc.citation.title | International Conference on Intelligent Computing, ICIC 2006 | - |
dc.citation.volume | 4115 | - |
dc.contributor.affiliatedAuthor | Lee, J | - |
dc.type.docType | Article | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL 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.