Frontiers in Physics: Predicting Sites of Epitranscriptome Modifications Using Unsupervised Representation Learning Based on Generative Adversarial Networks
June 19, 2020
Sirajul Salekin1, Milad Mostavi1, Yu-Chiao Chiu2, Yidong Chen2,3, Jianqiu Zhang1* and Yufei Huang1,3* Abstract Epitranscriptome is an exciting area that studies different types of modifications in transcripts, and the prediction of such modification sites from the transcript sequence is of significant interest. However, the scarcity of positive sites for most modifications imposes critical challenges for […]