MiRDiabetes : a microRNA-Diabetes Association database constructed with data mining on literature / by Hui Guo.
| Author/creator | Guo, Hui author. |
| Other author | Ding, Qin, degree supervisor. |
| Other author | East Carolina University. Department of Computer Science. |
| Format | Theses and dissertations |
| Publication | [Greenville, N.C.] : [East Carolina University], 2014. |
| Description | 72 pages : color illustrations |
| Supplemental Content | Access via ScholarShip |
| Subjects |
| Summary | MicroRNAs (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. |
| General note | Presented to the faculty of the Department of Computer Science. |
| General note | Advisor: Qin Ding. |
| General note | Title from PDF t.p. (viewed September 10, 2014). |
| Dissertation note | M.S. East Carolina University 2014. |
| Bibliography note | Includes bibliographical references. |
| Technical details | System requirements: Adobe Reader. |
| Technical details | Mode of access: World Wide Web. |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |