Unraveling City-Specific Microbial Signatures and Identifying Sample Origins for the Data From CAMDA 2020 Metagenomic Geolocation Challenge

Unraveling City-Specific Microbial Signatures and Identifying Sample Origins for the Data From CAMDA 2020 Metagenomic Geolocation Challenge

The composition of microbial communities has been known to be location-specific. Investigating the microbial composition across different cities enables us to unravel city-specific microbial signatures and further predict the origin of unknown samples. As part of the CAMDA 2020 Metagenomic Geolocati...

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Bibliographic Details
Main Authors: Runzhi Zhang, Dorothy Ellis, Alejandro R. Walker, Susmita Datta
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Genetics
Subjects:
microbiome
OTU
feature selection
random forest
support vector machine
multilayer perceptron
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.659650/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2021.659650/full

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