TY  - BOOK
AU  - Janßen, René
PY  - 2020
DA  - 2020//
TI  - Machine learning classification of microbial community compositions to predict anthropogenic pollutants in the Baltic Sea
PB  - Universität Rostock
CY  - Rostock
AB  - Microbial communities react rapidly and specifically to changing environments, indicating distinct microbial fingerprints for a given environmental state. Machine learning with community data predicted the Baltic Sea-detected pollutants glyphosate and 2,4,6-trinitrotoluene, using the developed R package “phyloseq2ML”. Predictions by Random Forest and Artificial Neural Network were accurate. Relevant taxa were identified. The interpretability of machine learning models was found of particular importance. Microbial communities predicted even minor influencing factors in complex environments.<eng>
UR  - http://purl.uni-rostock.de/rosdok/id00002897
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00002897-8
UR  - https://d-nb.info/1293662267/34
UR  - https://doi.org/10.18453/rosdok_id00002897
DO  - 10.18453/rosdok_id00002897
LA  - English
N1  - vorgelegt von René Janßen
ID  - 1744741417
ER  -