OpenBioLink: a benchmarking framework for large-scale biomedical link prediction

Bioinformatics. 2020 Jul 1;36(13):4097-4098. doi: 10.1093/bioinformatics/btaa274.

Abstract

Summary: Recently, novel machine-learning algorithms have shown potential for predicting undiscovered links in biomedical knowledge networks. However, dedicated benchmarks for measuring algorithmic progress have not yet emerged. With OpenBioLink, we introduce a large-scale, high-quality and highly challenging biomedical link prediction benchmark to transparently and reproducibly evaluate such algorithms. Furthermore, we present preliminary baseline evaluation results.

Availability and implementation: Source code and data are openly available at https://github.com/OpenBioLink/OpenBioLink.

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Benchmarking*
  • Machine Learning
  • Software*