DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, JK | - |
dc.contributor.author | Choi, SJ | - |
dc.date.accessioned | 2016-04-01T01:48:42Z | - |
dc.date.available | 2016-04-01T01:48:42Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2006-01 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.other | 2006-OAK-0000006324 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/23754 | - |
dc.description.abstract | Tree-dependent component analysis (TCA) is a generalization of independent component analysis (ICA), the goal of which is to model the multivariate data by a linear transformation of latent variables, while latent variables fit by a tree-structured graphical model. In contrast to ICA, TCA allows dependent structure of latent variables and also consider non-spanning trees (forests). In this paper, we present a TCA-based method of clustering gene expression data. Empirical study with yeast cell cycle-related data, yeast metabolic shift data, and yeast sporulation data, shows that TCA is more suitable for gene clustering, compared to principal component analysis (PCA) as well as ICA. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.relation.isPartOf | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.subject | YEAST | - |
dc.title | Tree-dependent components of gene expression data for clustering | - |
dc.type | Article | - |
dc.contributor.college | 컴퓨터공학과 | - |
dc.identifier.doi | 10.1007/11840930_87 | - |
dc.author.google | Kim, JK | - |
dc.author.google | Choi, SJ | - |
dc.relation.volume | 4132 | - |
dc.relation.startpage | 837 | - |
dc.relation.lastpage | 846 | - |
dc.contributor.id | 10077620 | - |
dc.relation.journal | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCIE | - |
dc.collections.name | Conference Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | LECTURE NOTES IN COMPUTER SCIENCE, v.4132, pp.837 - 846 | - |
dc.identifier.wosid | 000241475200087 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 846 | - |
dc.citation.startPage | 837 | - |
dc.citation.title | LECTURE NOTES IN COMPUTER SCIENCE | - |
dc.citation.volume | 4132 | - |
dc.contributor.affiliatedAuthor | Choi, SJ | - |
dc.identifier.scopusid | 2-s2.0-33749837608 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 2 | - |
dc.type.docType | Article; Proceedings Paper | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
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