DualNetGO: a dual network model for protein function prediction via effective feature selection.

ABSTRACT:

Motivation

Protein-protein interaction (PPI) networks are crucial for automatically annotating protein functions. As multiple PPI networks exist for the same set of proteins that capture properties from different aspects, it is a challenging task to effectively utilize these heterogeneous networks. Recently, several deep learning models have combined PPI networks from all evidence, or concatenated all graph embeddings for protein function prediction. However, the lack of a judicious selection procedure prevents the effective harness of information from different PPI networks, as these networks vary in densities, structures, and noise levels. Consequently, combining protein features indiscriminately could increase the noise level, leading to decreased model performance.

Results</

SUBMITTER: Chen Z 

PROVIDER: S-EPMC11538015 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature