A transformer architecture for retention time prediction in liquid chromatography mass spectrometry-based proteomics.

Pham, Thang V; Nguyen, Vinh V; Vu, Duong; Henneman, Alex A; Richardson, Robin A; Piersma, Sander R; Jimenez, Connie R

Pham, Thang V; Nguyen, Vinh V; Vu, Duong; Henneman, Alex A; Richardson, Robin A; Piersma, Sander R; Jimenez, Connie R.

Afiliação

Pham TV; Amsterdam UMC, location Vrije Universiteit Amsterdam, OncoProteomics Laboratory, Medical Oncology, Amsterdam, The Netherlands.
Nguyen VV; Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, The Netherlands.
Vu D; University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam.
Henneman AA; Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, Utrecht, The Netherlands.
Richardson RA; Amsterdam UMC, location Vrije Universiteit Amsterdam, OncoProteomics Laboratory, Medical Oncology, Amsterdam, The Netherlands.
Piersma SR; Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, The Netherlands.
Jimenez CR; Netherlands eScience Center, The Netherlands.

Proteomics ; 23(7-8): e2200041, 2023 04.

Article em En | MEDLINE | ID: mdl-36906835

Assuntos

Biblioteca de Peptídeos; Proteômica; Proteômica/métodos; Espectrometria de Massas/métodos; Software; Cromatografia Líquida/métodos

Palavras-chave

DIA-MS; deep learning; retention time prediction; spectral library; transformer architecture

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biblioteca de Peptídeos / Proteômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Proteomics Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda

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