Predicting bacterial phenotypic traits through improved machine learning using high-quality, curated datasets
Julia Koblitz, L.C. Reimer, Rüdiger Pukall, Jörg Overmann
The paper uses machine learning on curated bacterial datasets to predict phenotypic traits, showing that high-quality data improves prediction accuracy and generates new data points for the BacDive database.
Communications Biology · Jun 7, 2025Peer-reviewedBioinformatics