期刊
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
卷 13, 期 6, 页码 1027-1035出版社
IEEE COMPUTER SOC
DOI: 10.1109/TCBB.2016.2515608
关键词
Disease; microRNA; protein domain; network
类别
资金
- National Nature Science Foundation of China [91130032, 61572363, 91530321, 61100157]
- Innovation Program of Shanghai Municipal Education Commission [13ZZ072]
- Shanghai Pujiang Program [13PJD032]
- China Postdoctoral Science Foundation [2013M540386]
- Fundamental Research Funds for the Central Universities [BDZ011401, JB141001]
MicroRNAs (miRNAs) are a class of small endogenous non-coding genes, acting as regulators in the post-transcriptional processes. Recently, the miRNAs are found to be widely involved in different types of diseases. Therefore, the identification of disease associated miRNAs can help understand the mechanisms that underlie the disease and identify new biomarkers. However, it is not easy to identify the miRNAs related to diseases due to its extensive involvements in various biological processes. In this work, we present a new approach to identify disease associated miRNAs based on domains, the functional and structural blocks of proteins. The results on real datasets demonstrate that our method can effectively identify disease related miRNAs with high precision.
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