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 Anna Breit, Simon Ott, Asan Agibetov, Matthias Samwald
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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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