Cathy C. Westhues

This paper uses interpretable machine learning to predict drought stress in soil metagenomes with high accuracy by identifying marker taxa.

This study uses replicated divergent selection in maize to identify plant-height associated SNPs by applying a false discovery rate method to detect selection signals.

learnMET is an R package that uses machine learning to predict genomic traits from multi-environment trial data by integrating genomic and environmental factors.