OpenBioLink: A benchmarking framework for large-scale biomedical link prediction.

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ID: 105033
2020
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Abstract
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.Source code and data are openly available at https://github.com/OpenBioLink/OpenBioLink.Supplementary data are available at Bioinformatics online.
Reference Key
breit2020openbiolinkbioinformatics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Breit, Anna;Ott, Simon;Agibetov, Asan;Samwald, Matthias;
Journal Bioinformatics
Year 2020
DOI
btaa274
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Keywords
artificial intelligence Machine learning Biodiversity climate change phylogenetic diversity vascular plants

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