BayesENproteomics: Bayesian Elastic Nets for Quantification of Peptidoforms in Complex Samples.

Mallikarjun, Venkatesh; Richardson, Stephen M; Swift, Joe

Mallikarjun, Venkatesh; Richardson, Stephen M; Swift, Joe.

Afiliação

Mallikarjun V; Wellcome Centre for Cell-Matrix Research, University of Manchester, Oxford Road, Manchester M13 9PT, U.K.
Richardson SM; Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.
Swift J; Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester M13 9PL, U.K.

J Proteome Res ; 19(6): 2167-2184, 2020 06 05.

Article em En | MEDLINE | ID: mdl-32319298

Assuntos

Proteômica; Espectrometria de Massas em Tandem; Teorema de Bayes; Humanos; Peptídeos/metabolismo; Processamento de Proteína Pós-Traducional

Palavras-chave

Bayesian methods; algorithms; mass spectrometry; pathway analysis; post-translational modification; proteomics

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Espectrometria de Massas em Tandem Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Proteome Res Ano de publicação: 2020 Tipo de documento: Article

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