A machine learning framework to determine geolocations from metagenomic profiling.
Journal:
Biology direct
Published Date:
Nov 23, 2020
Abstract
BACKGROUND: Studies on metagenomic data of environmental microbial samples found that microbial communities seem to be geolocation-specific, and the microbiome abundance profile can be a differentiating feature to identify samples' geolocations. In this paper, we present a machine learning framework to determine the geolocations from metagenomics profiling of microbial samples.