6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion
Author(s) -
Qianfei Huang,
Jun Zhang,
Leyi Wei,
Fei Guo,
Quan Zou
Publication year - 2020
Publication title -
frontiers in plant science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.752
H-Index - 125
ISSN - 1664-462X
DOI - 10.3389/fpls.2020.00004
Subject(s) - genome , computational biology , feature (linguistics) , identification (biology) , biology , fusion , function (biology) , computer science , pattern recognition (psychology) , genetics , artificial intelligence , gene , botany , linguistics , philosophy
Motivation The biological function of N 6 -methyladenine DNA (6mA) in plants is largely unknown. Rice is one of the most important crops worldwide and is a model species for molecular and genetic studies. There are few methods for 6mA site recognition in the rice genome, and an effective computational method is needed. Results In this paper, we propose a new computational method called 6mA-Pred to identify 6mA sites in the rice genome. 6mA-Pred employs a feature fusion method to combine advantageous features from other methods and thus obtain a new feature to identify 6mA sites. This method achieved an accuracy of 87.27% in the identification of 6mA sites with 10-fold cross-validation and achieved an accuracy of 85.6% in independent test sets.
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