SICAGO: Semi-supervised cluster analysis using semantic distance between gene pairs in Gene Ontology
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Bo-Yeong | - |
dc.contributor.author | Ko, Song | - |
dc.contributor.author | Kim, Dae-Won | - |
dc.date.available | 2019-05-30T01:36:11Z | - |
dc.date.issued | 2010-05 | - |
dc.identifier.issn | 1367-4803 | - |
dc.identifier.issn | 1367-4811 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/22460 | - |
dc.description.abstract | Despite the importance of using the semantic distance to improve the performance of conventional expression-based clustering, there are few freely available software that provides a clustering algorithm using the ontology-based semantic distances as prior knowledge. Here, we present the SICAGO (SemI-supervised Cluster Analysis using semantic distance between gene pairs in Gene Ontology) system that helps to discover the groups of genes more effectively using prior knowledge extracted from Gene Ontology. | - |
dc.format.extent | 2 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.title | SICAGO: Semi-supervised cluster analysis using semantic distance between gene pairs in Gene Ontology | - |
dc.type | Article | - |
dc.identifier.doi | 10.1093/bioinformatics/btq133 | - |
dc.identifier.bibliographicCitation | BIOINFORMATICS, v.26, no.10, pp 1384 - 1385 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000277447500021 | - |
dc.identifier.scopusid | 2-s2.0-77952793819 | - |
dc.citation.endPage | 1385 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 1384 | - |
dc.citation.title | BIOINFORMATICS | - |
dc.citation.volume | 26 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordPlus | CELL-CYCLE | - |
dc.subject.keywordPlus | EXPRESSION | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | SIMILARITY | - |
dc.subject.keywordPlus | KNOWLEDGE | - |
dc.relation.journalResearchArea | Biochemistry & Molecular Biology | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Biochemical Research Methods | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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