Interpretable Machine Learning Decodes Soil Microbiome's Response to Drought Stress
Michelle Hagen, Rupashree Dass, Cathy C. Westhues, Jochen Blom, Sebastian J. Schultheiß, Sascha Patz
This paper uses interpretable machine learning to predict drought stress in soil metagenomes with high accuracy by identifying marker taxa.
Environmental Microbiome · May 29, 2024Peer-reviewedBioinformatics