CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction.

ABSTRACT: N6-methyladenine (6mA) plays a critical role in various epigenetic processing including DNA replication, DNA repair, silencing, transcription, and diseases such as cancer. To understand such epigenetic mechanisms, 6 mA has been detected by high-throughput technologies on a genome-wide scale at single-base resolution, together with conventional methods such as immunoprecipitation, mass spectrometry and capillary electrophoresis, but these experimental approaches are time-consuming and laborious. To complement these problems, we have developed a CNN-based 6 mA site predictor, named CNN6mA, which proposed two new architectures: a position-specific 1-D convolutional layer and a cross-interactive network. In the position-specific 1-D convolutional layer, position-specific filters with different

SUBMITTER: Tsukiyama S 

PROVIDER: S-EPMC9826936 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature