Journal
JOURNAL OF COMPUTATIONAL BIOLOGY
Volume 25, Issue 11, Pages 1266-1277Publisher
MARY ANN LIEBERT, INC
DOI: 10.1089/cmb.2018.0004
Keywords
2 '-O-methylation; chemical property; Homo sapiens; PseKNC; RNA sequence
Categories
Funding
- National Nature Scientific Foundation of China [61772119, 31771471]
- Natural Science Foundation for Distinguished Young Scholar of Hebei Province [C2017209244]
- Fundamental Research Funds for the Central Universities of China [ZYGX2015Z006, ZYGX2016J118, ZYGX2016J125, ZYGX2016J223]
- program for the Top Young Innovative Talents of Higher Learning Institutions of Hebei Province [BJ2014028]
- Outstanding Youth Foundation of North China University of Science and Technology [JP201502]
- China Postdoctoral Science Foundation [2015M582533]
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2'-O-methylation plays an important biological role in gene expression. Owing to the explosive increase in genomic sequencing data, it is necessary to develop a method for quickly and efficiently identifying whether a sequence contains the 2'-O-methylation site. As an additional method to the experimental technique, a computational method may help to identify 2'-O-methylation sites. In this study, based on the experimental 2'-O-methylation data of Homo sapiens, we proposed a support vector machine-based model to predict 2'-O-methylation sites in H. sapiens. In this model, the RNA sequences were encoded with the optimal features obtained from feature selection. In the fivefold cross-validation test, the accuracy reached 97.95%.
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