DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations.

ABSTRACT: While biomedical relation extraction (bioRE) datasets have been instrumental in the development of methods to support biocuration of single variants from texts, no datasets are currently available for the extraction of digenic or even oligogenic variant relations, despite the reports in literature that epistatic effects between combinations of variants in different loci (or genes) are important to understand disease etiologies. This work presents the creation of a unique dataset of oligogenic variant combinations, geared to train tools to help in the curation of scientific literature. To overcome the hurdles associated with the number of unlabelled instances and the cost of expertise, active learning (AL) was used to optimize the annotation, thus getting assistance in finding the most info

SUBMITTER: Nachtegael C 

PROVIDER: S-EPMC11131422 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature