GO Bench: shared hub for universal benchmarking of machine learning-based protein functional annotations.

ABSTRACT:

Motivation

Gene annotation is the problem of mapping proteins to their functions represented as Gene Ontology (GO) terms, typically inferred based on the primary sequences. Gene annotation is a multi-label multi-class classification problem, which has generated growing interest for its uses in the characterization of millions of proteins with unknown functions. However, there is no standard GO dataset used for benchmarking the newly developed new machine learning models within the bioinformatics community. Thus, the significance of improvements for these models remains unclear.

Results

The Gene Benchmarking database is the first effort to provide an easy-to-use and configurable hub for the learning and evaluation of gene annotation models. It provides easy access to pre-spec

SUBMITTER: Dickson A 

PROVIDER: S-EPMC10132473 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature