An artificial neural network identifies glyphosate-impacted brackish communities based on 16S rRNA amplicon MiSeq read counts
R. Janssen, J. Zabel, U. von Lukas, M. Labrenz
This paper trains an artificial neural network to detect glyphosate-impacted microbial communities using 16S rRNA amplicon sequencing data and identifies key taxonomic clusters for classification.
bioRxiv · Jul 23, 2019 · PreprintMicrobiology