IResNetDM: An interpretable deep learning approach for four types of DNA methylation modification prediction.

ABSTRACT:

Motivation

Although several computational methods for predicting DNA methylation modifications have been developed, two main limitations persist: 1) All of the models are currently confined to binary predictors, which merely determine the presence or absence of DNA methylation modifications and thus prevent comprehensive analyses of the interrelations among varied modification types. Multi-class classification models for RNA modifications have been developed, and a comparable approach for DNA is essential. 2) Few previous studies offer adequate explanations of how models make decisions, instead relying on the extraction and visualization of attention matrices, which have identified few motifs and do not provide sufficient insights into the model decision-making process.

Result</

SUBMITTER: Yang Z 

PROVIDER: S-EPMC11621598 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature