Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network.

ABSTRACT:

Background

Long noncoding RNAs (lncRNAs) play important roles in multiple biological processes. Identifying LncRNA-protein interactions (LPIs) is key to understanding lncRNA functions. Although some LPIs computational methods have been developed, the LPIs prediction problem remains challenging. How to integrate multimodal features from more perspectives and build deep learning architectures with better recognition performance have always been the focus of research on LPIs.

Results

We present a novel multichannel capsule network framework to integrate multimodal features for LPI prediction, Capsule-LPI. Capsule-LPI integrates four groups of multimodal features, including sequence features, motif information, physicochemical properties and secondary structure features. Capsule

SUBMITTER: Li Y 

PROVIDER: S-EPMC8120853 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature