Springer Nature
Browse
13062_2019_245_MOESM1_ESM.pdf (88.6 kB)

Additional file 1: of Application of machine learning techniques for creating urban microbial fingerprints

Download (88.6 kB)
journal contribution
posted on 2019-08-17, 04:26 authored by Feargal Ryan
Figure S1. Relative abundance profiles of taxa identified as Random Forest as most important in distinguishing between cities. (PDF 88 kb)

History

Usage metrics

    Biology Direct

    Categories

    Keywords

    MicrobiomeMachine learningPublic healthUrbanBioinformaticsMicrobiota

    Licence

    CC BY + CC0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC