A cube framework for incorporating inter-gene information into biological data mining
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Kuan-ming | - |
dc.contributor.author | Kang, Jaewoo | - |
dc.contributor.author | Shin, Hanjun | - |
dc.contributor.author | Lee, Jusang | - |
dc.date.accessioned | 2021-09-09T00:59:21Z | - |
dc.date.available | 2021-09-09T00:59:21Z | - |
dc.date.created | 2021-06-10 | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1748-5673 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/122087 | - |
dc.description.abstract | Large volumes of microarray data are registered daily in public repositories such as SMD (Belkin and Niyogi, 2003) and GEO (Ashburner et al., 2000). Such repositories have quickly become a community resource. However, due to the inherent heterogeneity of the microarray experiments, the data generated from different experiments could not be directly integrated and hence the resources have not been fully utilised. To address this problem, we propose a new microarray integration framework that achieves high-quality integration through exploiting invariant features such as relative information among genes. We also show how the proposed approach generalises the previous frameworks. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | INDERSCIENCE ENTERPRISES LTD | - |
dc.subject | FUNCTIONAL ANNOTATION | - |
dc.subject | MICROARRAY | - |
dc.subject | EXPRESSION | - |
dc.subject | INTEGRATION | - |
dc.subject | PATTERNS | - |
dc.title | A cube framework for incorporating inter-gene information into biological data mining | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kang, Jaewoo | - |
dc.identifier.doi | 10.1504/IJDMB.2009.023881 | - |
dc.identifier.scopusid | 2-s2.0-63049101684 | - |
dc.identifier.wosid | 000265541400002 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, v.3, no.1, pp.3 - 22 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS | - |
dc.citation.title | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS | - |
dc.citation.volume | 3 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 3 | - |
dc.citation.endPage | 22 | - |
dc.type.rims | ART | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.subject.keywordPlus | FUNCTIONAL ANNOTATION | - |
dc.subject.keywordPlus | MICROARRAY | - |
dc.subject.keywordPlus | EXPRESSION | - |
dc.subject.keywordPlus | INTEGRATION | - |
dc.subject.keywordPlus | PATTERNS | - |
dc.subject.keywordAuthor | intergene analysis | - |
dc.subject.keywordAuthor | cube framework | - |
dc.subject.keywordAuthor | TSP | - |
dc.subject.keywordAuthor | second-order correlation | - |
dc.subject.keywordAuthor | data mining | - |
dc.subject.keywordAuthor | bioinformatics | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea 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.