Biomarker selection and a prospective metabolite-based machine learning diagnostic for lyme disease
Biomarker selection and a prospective metabolite-based machine learning diagnostic for lyme disease
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London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
We provide a pipeline for data preprocessing, biomarker selection, and classification of liquid chromatography–mass spectrometry (LCMS) serum samples to generate a prospective diagnostic test for Lyme disease. We utilize tools of machine learning (ML), e.g., sparse support vector machines (SSVM), iterative feature removal (IFR), and
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Full title
Biomarker selection and a prospective metabolite-based machine learning diagnostic for lyme disease
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TN_cdi_doaj_primary_oai_doaj_org_article_fe06668bac974e409973bf9056468c2a
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fe06668bac974e409973bf9056468c2a
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-05451-0
