SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data.

Li, Yuntong; Fan, Teresa W M; Lane, Andrew N; Kang, Woo-Young; Arnold, Susanne M; Stromberg, Arnold J; Wang, Chi; Chen, Li

Li, Yuntong; Fan, Teresa W M; Lane, Andrew N; Kang, Woo-Young; Arnold, Susanne M; Stromberg, Arnold J; Wang, Chi; Chen, Li.

Afiliación

Li Y; Department of Statistics, University of Kentucky, Lexington, 40536, USA.
Fan TWM; Markey Cancer Center, University of Kentucky, Lexington, 40536, USA.
Lane AN; Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, 40536, USA.
Kang WY; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, 40536, USA.
Arnold SM; Markey Cancer Center, University of Kentucky, Lexington, 40536, USA.
Stromberg AJ; Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, 40536, USA.
Wang C; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, 40536, USA.
Chen L; Markey Cancer Center, University of Kentucky, Lexington, 40536, USA.

BMC Bioinformatics ; 20(1): 501, 2019 Oct 17.

Article en En | MEDLINE | ID: mdl-31623550

Asunto(s)

Espectrometría de Masas/métodos; Metabolómica/métodos; Proteómica/métodos; Programas Informáticos; Modelos Estadísticos

Palabras clave

Differential abundance analysis; Kernel smoothing; Metabolomics; Proteomics; Semi-parametric log-linear model

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Espectrometría de Masas / Programas Informáticos / Proteómica / Metabolómica Tipo de estudio: Risk_factors_studies Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

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