HN-CNN: A Heterogeneous Network Based on Convolutional Neural Network for m⁷ G Site Disease Association Prediction.

ABSTRACT: N⁷-methylguanosine (m⁷G) is a typical positively charged RNA modification, playing a vital role in transcriptional regulation. m⁷G can affect the biological processes of mRNA and tRNA and has associations with multiple diseases including cancers. Wet-lab experiments are cost and time ineffective for the identification of disease-related m⁷G sites. Thus, a heterogeneous network method based on Convolutional Neural Networks (HN-CNN) has been proposed to predict unknown associations between m⁷G sites and diseases. HN-CNN constructs a heterogeneous network with m⁷G site similarity, disease similarity, and disease-associated m⁷G sites to formulate features for m⁷G site-disease pairs. Next, a convolutional ne

SUBMITTER: Zhang L 

PROVIDER: S-EPMC7970120 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature