Identification of 2'-O-methylation Site by Investigating Multi-feature Extracting Techniques.
Comb Chem High Throughput Screen
; 23(6): 527-535, 2020.
Article
em En
| MEDLINE
| ID: mdl-32334499
ABSTRACT
BACKGROUND:
RNA methylation is a reversible post-transcriptional modification involving numerous biological processes. Ribose 2'-O-methylation is part of RNA methylation. It has shown that ribose 2'-O-methylation plays an important role in immune recognition and other pathogenesis.OBJECTIVE:
We aim to design a computational method to identify 2'-O-methylation.METHODS:
Different from the experimental method, we propose a computational workflow to identify the methylation site based on the multi-feature extracting algorithm.RESULTS:
With a voting procedure based on 7 best feature-classifier combinations, we achieved Accuracy of 76.5% in 10-fold cross-validation. Furthermore, we optimized features and input the optimized features into SVM. As a result, the AUC reached to 0.813.CONCLUSION:
The RNA sample, especially the negative samples, used in this study are more objective and strict, so we obtained more representative results than state-of-arts studies.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
RNA
/
Biologia Computacional
/
Aprendizado de Máquina
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Revista:
Comb Chem High Throughput Screen
Ano de publicação:
2020
Tipo de documento:
Article