Article

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

2022-11-18

Abstract excerpt

<h4>Background</h4> Microbes 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 learning is a promising option in that context. While amplicon sequencing is typically applied to assess microbial...

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Literature Corpus work: 107d9255-6f6f-556b-b6a6-b16d1ac92586
DOI: 10.1101/2022.11.18.517107

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