EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction.

ABSTRACT:

Background

Recent research recommends that epi-transcriptome regulation through post-transcriptional RNA modifications is essential for all sorts of RNA. Exact identification of RNA modification is vital for understanding their purposes and regulatory mechanisms. However, traditional experimental methods of identifying RNA modification sites are relatively complicated, time-consuming, and laborious. Machine learning approaches have been applied in the procedures of RNA sequence features extraction and classification in a computational way, which may supplement experimental approaches more efficiently. Recently, convolutional neural network (CNN) and long short-term memory (LSTM) have been demonstrated achievements in modification site prediction on account of their powerful functio

SUBMITTER: Wang H 

PROVIDER: S-EPMC9178860 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature