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miRDiabetes : A microRNA-Diabetes Association Database Constructed With Data Mining on Literature

dc.contributor.advisorDing, Qinen_US
dc.contributor.authorGuo, Huien_US
dc.contributor.departmentComputer Scienceen_US
dc.date.accessioned2014-08-28T15:02:49Z
dc.date.available2017-02-07T22:22:34Z
dc.date.issued2014en_US
dc.description.abstractMicroRNAs (miRNAs) are a growing class of non-coding RNAs that regulate gene expression by translational repression. A role for miRNA in diabetes was first established in 2004 and research in miRNA-diabetes association has been an increasing interest since then. However, no effort or computational tool has been put forward to retrieve and gather literature on this topic. In this research, we have designed and implemented a method of utilizing data mining techniques on textual data on this subject, which can automatically determine relevancy of new entries with high accuracy. With this method, we have constructed miRDiabetes, the first comprehensive database to collect information in publications from PubMed that profiles relations between miRNAs and diabetes. We have also developed an application to facilitate future updates and built a website for researchers to search and download the miRDiabetes database.  en_US
dc.description.degreeM.S.en_US
dc.format.extent72 p.en_US
dc.format.mediumdissertations, academicen_US
dc.identifier.urihttp://hdl.handle.net/10342/4515
dc.language.isoen_US
dc.publisherEast Carolina Universityen_US
dc.subjectComputer scienceen_US
dc.subjectBiologyen_US
dc.subjectMedicineen_US
dc.subjectCollection databasesen_US
dc.subjectDiabetesen_US
dc.subjectInformation retrievalen_US
dc.subjectMicroRNAen_US
dc.subject.lcshData mining
dc.subject.lcshDatabase design
dc.subject.lcshDiabetes--Research
dc.titlemiRDiabetes : A microRNA-Diabetes Association Database Constructed With Data Mining on Literatureen_US
dc.typeMaster's Thesisen_US

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