AUTHOR=Liu Hang-Yu , Du Pu-Feng 

TITLE=i5hmCVec: Identifying 5-Hydroxymethylcytosine Sites of Drosophila RNA Using Sequence Feature Embeddings

JOURNAL=Frontiers in Genetics

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2022.896925

DOI=10.3389/fgene.2022.896925

ISSN=1664-8021

ABSTRACT=As one of the most important RNA modifications, 5hmC (5-hydroxymethylcytosine) plays an important role in many biological processes. Accurately identifying RNA modification sites helps understand the function of RNA modification. In this work, we propose a computational method for identifying the 5hmC modified regions using machine learning algorithms. We applied a sequence feature embedding method based on the dna2vec algorithm to represent the RNA sequence. The results showed that the performance of our model is better than state-of-art methods. All dataset and source codes used in this study is available at: https://github.com/liu-h-y/5hmC_model.