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The phylogenetic LASSO and the microbiome
Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada.ORCID iD: 0000-0003-2437-1300
Department of Pathology and Molecular Medicine, McMaster University, St Joseph's Healthcare, Hamilton, Ontario, Canada.
Department of Mathematics, Florida State University, Tallahassee, .
Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada; Department of Pathology and Molecular Medicine, McMaster University, St Joseph's Healthcare, Hamilton, Ontario, Canada.
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Scientific investigations that incorporate next generation sequencing involve analyses of high-dimensional data where the need to organize, collate and interpret the outcomes are pressingly important. Currently, data can be collected at the microbiome level leading to the possibility of personalized medicine whereby treatments can be tailored at this scale. In this paper, we lay down a statistical framework for this type of analysis with a view toward synthesis of products tailored to individual patients. Although the paper applies the technique to data for a particular infectious disease, the methodology is suciently rich to be expanded to other problems in medicine, especially those in which coincident `-omics' covariates and clinical responses are simultaneously captured.

Keywords [en]
Bacteriology, Bioinformatics, Clostridium dicile Infection, Faecal Microbiota Transplantation, LASSO, Optimization, Oracle Properties, Phylogeny, Public Health, 16S rRNA
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:oru:diva-65209OAI: oai:DiVA.org:oru-65209DiVA, id: diva2:1185423
Available from: 2018-02-24 Created: 2018-02-24 Last updated: 2018-03-16Bibliographically approved

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The Phylogenetic LASSO and the Microbiome

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Rush, Stephen

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