stackPredAMR publication online
The first results of our project are published in the Journal Bioinformatics Advances. In stackPredAMR - A stacked random forest approach improves AMR phenotype prediction for multiple species and antimicrobial agents the authors present a machine learning framework for the prediction of multiple antimicrobial agents in three different species. The tool was benchmarked on 2,500 publicly available datasets and showed a strong performance.
The full article can be found online: stackPredAMR – A stacked random forest approach improves AMR phenotype prediction for multiple species and antimicrobial agents | Bioinformatics Advances | Oxford Academic
