Nonlinear Regression Improves Accuracy of Characterization of Multiplexed Mass Spectrometric Assays.

Galitzine, Cyril; Egertson, Jarrett D; Abbatiello, Susan; Henderson, Clark M; Pino, Lindsay K; MacCoss, Michael; Hoofnagle, Andrew N; Vitek, Olga

Galitzine, Cyril; Egertson, Jarrett D; Abbatiello, Susan; Henderson, Clark M; Pino, Lindsay K; MacCoss, Michael; Hoofnagle, Andrew N; Vitek, Olga.

Afiliação

Galitzine C; From the College of Science, Northeastern University, Boston, Massachusetts 02115.
Egertson JD; §Department of Genome Sciences, University of Washington, Seattle, Washington 98195.
Abbatiello S; ¶Thermo Fisher Scientific, Cambridge, Massachusetts 02139.
Henderson CM; âDepartment of Laboratory Medicine, University of Washington, Seattle, Washington 98195.
Pino LK; §Department of Genome Sciences, University of Washington, Seattle, Washington 98195.
MacCoss M; §Department of Genome Sciences, University of Washington, Seattle, Washington 98195.
Hoofnagle AN; âDepartment of Laboratory Medicine, University of Washington, Seattle, Washington 98195.
Vitek O; **Department of Medicine, University of Washington, Seattle, Washington 98195.

Mol Cell Proteomics ; 17(5): 913-924, 2018 05.

Article em En | MEDLINE | ID: mdl-29438992

Assuntos

Espectrometria de Massas/métodos; Dinâmica não Linear; Sequência de Aminoácidos; Bioensaio; Calibragem; Humanos; Limite de Detecção; Modelos Teóricos; Peptídeos/química; Análise de Regressão

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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