Global analysis of microarray data reveals intrinsic properties in gene expression and tissue selectivity
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Changsik | - |
dc.contributor.author | Choi, Jiwon | - |
dc.contributor.author | Park, Hyunjin | - |
dc.contributor.author | Park, Yunsun | - |
dc.contributor.author | Park, Jungsun | - |
dc.contributor.author | Park, Taesung | - |
dc.contributor.author | Cho, Kwanghui | - |
dc.contributor.author | Yang, Young | - |
dc.contributor.author | Yoon, Sukjoon | - |
dc.date.available | 2018-05-10T14:08:44Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2010-07-15 | - |
dc.identifier.issn | 1367-4803 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/14704 | - |
dc.description.abstract | Motivation: It is expected that individual genes have intrinsically different variability in the global expressional trend among them. Thus, the consideration of gene-specific expressional properties will help us to distinguish target-selective gene expression over non-selective over-expression. Results: The re-standardization and integration of heterogeneous microarray datasets, available from public databases, have enabled us to determine the global expression properties of individual genes across a wide variety of experimental conditions and samples. The global averages and SDs of expression for each gene in the integrated microarray datasets were found to be intrinsic properties, which were consistent among independent collections of datasets using different microarray platforms. Using the gene-specific intrinsic parameters to rescale the microarray data, we were able to distinguish novel selective gene expression [cartilage oligomeric matrix protein (COMP) and Collagen X] in breast cancer tissues from non-selective over-expression, a difference that has not been detectable by conventional methods. | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.relation.isPartOf | BIOINFORMATICS | - |
dc.subject | BREAST-CANCER | - |
dc.subject | NORMALIZATION | - |
dc.subject | AFFYMETRIX | - |
dc.subject | SIGNATURES | - |
dc.subject | NETWORK | - |
dc.subject | LESIONS | - |
dc.subject | CELLS | - |
dc.title | Global analysis of microarray data reveals intrinsic properties in gene expression and tissue selectivity | - |
dc.type | Article | - |
dc.identifier.doi | 10.1093/bioinformatics/btq279 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | BIOINFORMATICS, v.26, no.14, pp.1723 - 1730 | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000279474400007 | - |
dc.identifier.scopusid | 2-s2.0-77954480317 | - |
dc.citation.endPage | 1730 | - |
dc.citation.number | 14 | - |
dc.citation.startPage | 1723 | - |
dc.citation.title | BIOINFORMATICS | - |
dc.citation.volume | 26 | - |
dc.contributor.affiliatedAuthor | Cho, Kwanghui | - |
dc.type.docType | Article | - |
dc.description.oadoiVersion | published | - |
dc.subject.keywordPlus | BREAST-CANCER | - |
dc.subject.keywordPlus | NORMALIZATION | - |
dc.subject.keywordPlus | AFFYMETRIX | - |
dc.subject.keywordPlus | SIGNATURES | - |
dc.subject.keywordPlus | NETWORK | - |
dc.subject.keywordPlus | LESIONS | - |
dc.subject.keywordPlus | CELLS | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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.