Class similarity network for coding and long non-coding RNA classification.

ABSTRACT:

Background

Long non-coding RNAs (lncRNAs) play significant roles in varieties of physiological and pathological processes.The premise of the lncRNA functional study is that the lncRNAs are identified correctly. Recently, deep learning method like convolutional neural network (CNN) has been successfully applied to identify the lncRNAs. However, the traditional CNN considers little relationships among samples via an indirect way.

Results

Inspired by the Siamese Neural Network (SNN), here we propose a novel network named Class Similarity Network in coding RNA and lncRNA classification. Class Similarity Network considers more relationships among input samples in a direct way. It focuses on exploring the potential relationships between input samples and samples from both the same

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8691036 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature