%A Huang,Qianfei
%A Zhang,Jun
%A Wei,Leyi
%A Guo,Fei
%A Zou,Quan
%D 2020
%J Frontiers in Plant Science
%C
%F
%G English
%K rice,Model,Fusion,DNA,6mA
%Q
%R 10.3389/fpls.2020.00004
%W
%L
%M
%P
%7
%8 2020-January-31
%9 Technology and Code
%+ Fei Guo,College of Intelligence and Computing, Tianjin University,China,fguo@tju.edu.cn
%+ Quan Zou,Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China,China,fguo@tju.edu.cn
%#
%! 6mA-RicePred
%*
%<
%T 6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion
%U https://www.frontiersin.org/articles/10.3389/fpls.2020.00004
%V 11
%0 JOURNAL ARTICLE
%@ 1664-462X
%X MotivationThe biological function of N6-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.ResultsIn 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.