Supervised Machine Learning Enables Geospatial Microbial Provenance
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DOI: 10.3390/genes13101914
Abstract: The recent increase in publicly available metagenomic datasets with geospatial metadata has made it possible to determine location-specific, microbial fingerprints from around the world. Such fingerprints can be useful for comparing microbial niches for environmental… read more here.
Keywords: supervised machine; machine learning; enables geospatial; geospatial microbial ... See more keywords