Predicting environmental stressor levels with machine learning: a comparison between amplicon sequencing, metagenomics, and total RNA sequencing based on taxonomically assigned data
IntroductionMicrobes are increasingly (re)considered for environmental assessments because they are powerful indicators for the health of ecosystems. The complexity of microbial communities necessitates powerful novel tools to derive conclusions for environmental decision-makers, and machine learnin...
Main Authors: | Christopher A. Hempel, Dominik Buchner, Leoni Mack, Marie V. Brasseur, Dan Tulpan, Florian Leese, Dirk Steinke |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-11-01
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Series: | Frontiers in Microbiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2023.1217750/full |
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