The team of China University of Mines developed an integrated multi-scale deep learning model for RNA methylation site prediction

Studies have shown that , After transcribing RNA Epigenetic transcriptome regulation by modification , For all kinds of RNA Are essential . Accurate identification RNA modification , It is very important to understand its purpose and regulation mechanism ; also , This information may bring great help to the research of many human diseases . However , distinguish RNA The traditional experimental methods of modification sites are relatively complex 、 Time consuming and laborious .

Researchers from China University of mining and technology have proposed an integrated multi-scale deep learning predictor （EMDLP）, With NLP and DL Mode identification RNA Methylation sites . It organically combines extended convolution and bidirectional LSTM（BiLSTM）, It helps to make better use of local and global information for site prediction .

The research 「EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction」 entitled , On 2022 year 6 month 8 Published on 《BMC Bioinformatics》.

EMDLP The server ：

http://www.labiip.net/EMDLP/index.php

Thesis link ：

https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-022-04756-1