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

Overview of attention for article published in Frontiers in Microbiology, November 2023

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👉 Predicting environmental stressor levels with machine learning: new study with Marie V. Brasseur, #LeibnizInstitutefortheAnalysisofBiodiversityChange, #MuseumKoenigBonn and @leeselab as a co-author: https://t.co/TzPETnVkVu #amplicons #metagenomics #taxo

RT @chris_hempel: 🚨Publication alert🚨 Predicting environmental stressor levels ☠️ with #MachineLearning 🤖: a comparison between amplicon s…

RT @chris_hempel: 🚨Publication alert🚨 Predicting environmental stressor levels ☠️ with #MachineLearning 🤖: a comparison between amplicon s…

RT @chris_hempel: 🚨Publication alert🚨 Predicting environmental stressor levels ☠️ with #MachineLearning 🤖: a comparison between amplicon s…

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