Subcellular Localization Prediction of Human Proteins Using Multifeature Selection Methods.

ABSTRACT: Subcellular localization attempts to assign proteins to one of the cell compartments that performs specific biological functions. Finding the link between proteins, biological functions, and subcellular localization is an effective way to investigate the general organization of living cells in a systematic manner. However, determining the subcellular localization of proteins by traditional experimental approaches is difficult. Here, protein-protein interaction networks, functional enrichment on gene ontology and pathway, and a set of proteins having confirmed subcellular localization were applied to build prediction models for human protein subcellular localizations. To build an effective predictive model, we employed a variety of robust machine learning algorithms, including Boruta featur

SUBMITTER: Zhang YH 

PROVIDER: S-EPMC9484878 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature