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Interpretable Log Contrasts for the Classification of Health Biomarkers: a New Approach to Balance Selection

Quinn, Thomas P. and Erb, Ionas 2020, Interpretable Log Contrasts for the Classification of Health Biomarkers: a New Approach to Balance Selection, mSystems, vol. 5, no. 2, pp. 1-11, doi: 10.1128/msystems.00230-19.

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Title Interpretable Log Contrasts for the Classification of Health Biomarkers: a New Approach to Balance Selection
Author(s) Quinn, Thomas P.ORCID iD for Quinn, Thomas P. orcid.org/0000-0003-0286-6329
Erb, Ionas
Journal name mSystems
Volume number 5
Issue number 2
Article ID e00230-19
Start page 1
End page 11
Total pages 11
Publisher American Society for Microbiology
Place of publication Washington, D.C
Publication date 2020
ISSN 2379-5077
2379-5077
Keyword(s) balances
classification
coda
compositional data
log contrast
log ratio
machine learning
microbiome
prediction
Language eng
DOI 10.1128/msystems.00230-19
Indigenous content off
HERDC Research category C1.1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30136245

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.