iRNA-2OM: A Sequence-Based Predictor for Identifying 2′-O-Methylation Sites in Homo sapiens
2018; Mary Ann Liebert, Inc.; Volume: 25; Issue: 11 Linguagem: Inglês
10.1089/cmb.2018.0004
ISSN1557-8666
AutoresHui Yang, Hao Lv, Hui Ding, Wei Chen, Hao Lin,
Tópico(s)RNA and protein synthesis mechanisms
Resumo2′-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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