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Hierarchical structural component modeling of microRNA-mRNA integration analysis

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dc.contributor.authorKim, Yongkang-
dc.contributor.authorLee, Sungyoung-
dc.contributor.authorChoi, Sungkyoung-
dc.contributor.authorJang, Jin-Young-
dc.contributor.authorPark, Taesung-
dc.date.accessioned2018-05-31T01:18:07Z-
dc.date.available2018-05-31T10:27:16Z-
dc.date.issued2018-05-08-
dc.identifier.citationBMC Bioinformatics, 19(Suppl 4):75ko_KR
dc.identifier.issn1471-2105-
dc.identifier.urihttps://hdl.handle.net/10371/142657-
dc.description.abstractBackground
Identification of multi-markers is one of the most challenging issues in personalized medicine era. Nowadays, many different types of omics data are generated from the same subject. Although many methods endeavor to identify candidate markers, for each type of omics data, few or none can facilitate such identification.

Results
It is well known that microRNAs affect phenotypes only indirectly, through regulating mRNA expression and/or protein translation. Toward addressing this issue, we suggest a hierarchical structured component analysis of microRNA-mRNA integration (HisCoM-mimi) model that accounts for this biological relationship, to efficiently study and identify such integrated markers. In simulation studies, HisCoM-mimi showed the better performance than the other three methods. Also, in real data analysis, HisCoM-mimi successfully identified more gives more informative miRNA-mRNA integration sets relationships for pancreatic ductal adenocarcinoma (PDAC) diagnosis, compared to the other methods.

Conclusion
As exemplified by an application to pancreatic cancer data, our proposed model effectively identified integrated miRNA/target mRNA pairs as markers for early diagnosis, providing a much broader biological interpretation.
ko_KR
dc.description.sponsorshipThis research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI16C2037010016) and Bio-Synergy Research Project of the Ministry of Science, ICT and Future Planning through the National Research Foundation (grant number: 2013M3A9C4078158). Publication of this article was sponsored by the Bio-Synergy Research Project (grant number: 2013M3A9C4078158).ko_KR
dc.language.isoenko_KR
dc.publisherBioMed Centralko_KR
dc.subjectmiRNAko_KR
dc.subjectmRNAko_KR
dc.subjectIntegration analysisko_KR
dc.subjectGeneralized Structured Component Analysisko_KR
dc.subjectGSCAko_KR
dc.subjectHierarchicalko_KR
dc.subjectstructured component analysis of miRNA-mRNA integrationko_KR
dc.subjectHisCoM-mimiko_KR
dc.titleHierarchical structural component modeling of microRNA-mRNA integration analysisko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor김용강-
dc.contributor.AlternativeAuthor이성영-
dc.contributor.AlternativeAuthor최성경-
dc.contributor.AlternativeAuthor장진영-
dc.contributor.AlternativeAuthor박태성-
dc.identifier.doi10.1186/s12859-018-2070-0-
dc.language.rfc3066en-
dc.rights.holderThe Author(s).-
dc.date.updated2018-05-13T03:35:33Z-
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