HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species.
Journal:
PeerJ
Published Date:
May 15, 2025
Abstract
BACKGROUND: N6-methyladenine (6mA) is an important DNA methylation modification that serves a crucial function in various biological activities. Accurate prediction of 6mA sites is essential for elucidating its biological function and underlying mechanism. Although existing methods have achieved great success, there remains a pressing need for improved prediction accuracy and generalization cap ability across diverse species. This study aimed to develop a robust method to address these challenges.