Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data

This study compared metagenomics, total RNA sequencing, and amplicon sequencing in their performance to predict environmental stressor levels based on machine learning. The results advance the application of machine learning for environmental assessments.