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dc.contributor.authorHsieh, Wan J.en_US
dc.contributor.authorLin, Feng-Maoen_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.contributor.authorWang, Hsiuyingen_US
dc.date.accessioned2014-12-08T15:35:50Z-
dc.date.available2014-12-08T15:35:50Z-
dc.date.issued2014-04-22en_US
dc.identifier.issn1932-6203en_US
dc.identifier.urihttp://dx.doi.org/10.1371/journal.pone.0095697en_US
dc.identifier.urihttp://hdl.handle.net/11536/24226-
dc.description.abstractRecent studies have revealed that a small non-coding RNA, microRNA (miRNA) down-regulates its mRNA targets. This effect is regarded as an important role in various biological processes. Many studies have been devoted to predicting miRNA-target interactions. These studies indicate that the interactions may only be functional in some specific tissues, which depend on the characteristics of an miRNA. No systematic methods have been established in the literature to investigate the correlation between miRNA-target interactions and tissue specificity through microarray data. In this study, we propose a method to investigate miRNA-target interaction-supported tissues, which is based on experimentally validated miRNA-target interactions. The tissue specificity results by our method are in accordance with the experimental results in the literature.en_US
dc.language.isoen_USen_US
dc.titleInvestigating microRNA-Target Interaction-Supported Tissues in Human Cancer Tissues Based on miRNA and Target Gene Expression Profilingen_US
dc.typeArticleen_US
dc.identifier.doi10.1371/journal.pone.0095697en_US
dc.identifier.journalPLOS ONEen_US
dc.citation.volume9en_US
dc.citation.issue4en_US
dc.citation.epageen_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000335240300076-
dc.citation.woscount3-
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