title: Statistical methods in metabolomics.
abstract: Metabolomics is the relatively new field in bioinformatics that uses measurements on metabolite abundance as a tool for disease diagnosis and other medical purposes. Although closely related to proteomics, the statistical analysis is potentially simpler since biochemists have significantly more domain knowledge about metabolites. This chapter reviews the challenges that metabolomics poses in the areas of quality control, statistical metrology, and data mining.
authors.affiliation: Department of Statistical Science, Duke University, Durham, NC, USA.
authors.forename: Alexander
authors.initials: A
authors.lastname: Korman
authors.forename: Amy
authors.initials: A
authors.lastname: Oh
authors.forename: Alexander
authors.initials: A
authors.lastname: Raskind
authors.forename: David
authors.initials: D
authors.lastname: Banks
mesh_terms: D000818:Animals; D003933:Diagnosis; D004194:Disease / Q000235:genetics; D006801:Humans; D055432:Metabolomics / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D011786:Quality Control; D013223:Statistics as Topic / Q000379:methods*; D060388:Support Vector Machine