6mA-RicePred: A Method for Identifying DNA N6-Methyladenine Sites in the Rice Genome Based on Feature Fusion
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...
Main Authors: | Qianfei Huang, Jun Zhang, Leyi Wei, Fei Guo, Quan Zou |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-01-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fpls.2020.00004/full |
Similar Items
-
6mA-Pred: identifying DNA N6-methyladenine sites based on deep learning
by: Qianfei Huang, et al.
Published: (2021-02-01) -
SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome
by: Haitao Yu, et al.
Published: (2019-10-01) -
6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site
by: Guohua Huang, et al.
Published: (2023-11-01) -
The dynamics of N 6-methyladenine RNA modification in interactions between rice and plant viruses
by: Kun Zhang, et al.
Published: (2021-06-01) -
DNA N6-Methyladenine (6mA) Modification Regulates Drug Resistance in Triple Negative Breast Cancer
by: Xianneng Sheng, et al.
Published: (2021-02-01)