Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods
Song-Yao Zhang, Shao‐Wu Zhang, Xiao-Nan Fan, Jia Meng, Yidong Chen, Shou‐Jiang Gao, Yufei Huang
This paper introduces Deep-m6A, a deep learning model for predicting m6A sites and identifies 709 functionally significant m6A-regulated genes and nine subnetworks associated with cancer and other diseases.
PLoS Computational Biology · Jan 2, 2019Peer-reviewedBioinformatics