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6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion

机译:基于特征融合的水稻基因组中鉴定DNA N6-甲基腺嘌呤位点的方法

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摘要

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.
机译:动机N6-甲基腺嘌呤DNA(6mA)在植物中的生物学功能在很大程度上是未知的。大米是全球最重要的作物之一,是分子和遗传研究的模型物种。在水稻基因组中有6mA现场识别的方法,需要有效的计算方法。提出了一种称为6mA-pred的新计算方法,以鉴定水稻基因组中的6mA位点。 6MA-P7M采用特征融合方法来组合来自其他方法的有利特征,从而获得新功能以识别6MA站点。该方法在鉴定6mA位点,在具有10倍的交叉验证的位置实现了87.27%,并在独立的测试集中实现了85.6%的精度。

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