DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정주현 | ko |
dc.contributor.author | 이도헌 | ko |
dc.date.accessioned | 2010-07-02T01:05:28Z | - |
dc.date.available | 2010-07-02T01:05:28Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2007-03 | - |
dc.identifier.citation | BIOINFORMATICS AND BIOSYSTEMS, v.2, no.1, pp.24 - 27 | - |
dc.identifier.issn | 1738-9798 | - |
dc.identifier.uri | http://hdl.handle.net/10203/19021 | - |
dc.description.abstract | Human cell regulatory mechanism is one of suspicious problems among biologists. Here we tried to uncover the human breast cancer cell regulatory mechanism from gene expression data (Marc J. Van de vijver, et. al., 2002) using a module network algorithm which is suggested by Segal, et. al.(2003) Finally, we derived a module network which consists of 50 modules and 10 tree depths. Moreover, to validate this candidate network, we applied a GO enrichment test and known transcription factor-target relationships from Transfac(R) (V. Matys, et. al, 2006) and HPRD database (Peri, S. et al., 2003). | - |
dc.description.sponsorship | This work was supported by the Korea Science and Engineering Foundation(KOSEF) through the National Research Lab. Program (No. 2005-01450), and the Korean Systems Biology Research Grant (2005-00343). | en |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | 한국생물정보학회 | - |
dc.title | Inferring candidate regulatory networks in human breast cancer cells | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 2 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 24 | - |
dc.citation.endingpage | 27 | - |
dc.citation.publicationname | BIOINFORMATICS AND BIOSYSTEMS | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | 이도헌 | - |
dc.contributor.nonIdAuthor | 정주현 | - |
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