MALDI(+) FT-ICR Mass Spectrometry (MS) Combined with Machine Learning toward Saliva-Based Diagnostic Screening for COVID-19 | Zendy

Camila Medeiros de Almeida | Zendy; Larissa C. Motta | Zendy; Gabriely S. Folli | Zendy; Wena Dantas Marcarini | Zendy; Camila Alves Costa | Zendy; Ana Carolina Serafim Vilela | Zendy; Valério Garrone Baraúna | Zendy; Francis L. Martin | Zendy; Maneesh N. Singh | Zendy; Luciene Cristina Gastalho Campos | Zendy; Nádia Lago Costa | Zendy; Paula Frizera Vassallo | Zendy; Andréa Rodrigues Chaves | Zendy; Denise Coutinho Endringer | Zendy; José Geraldo Mill | Zendy; Paulo R. Filgueiras | Zendy; Wanderson Romão | Zendy

Open Access

MALDI(+) FT-ICR Mass Spectrometry (MS) Combined with Machine Learning toward Saliva-Based Diagnostic Screening for COVID-19

Author(s) -

Camila Medeiros de Almeida,

Larissa C. Motta,

Gabriely S. Folli,

Wena Dantas Marcarini,

Camila Alves Costa,

Ana Carolina Serafim Vilela,

Valério Garrone Baraúna,

Francis L. Martin,

Maneesh N. Singh,

Luciene Cristina Gastalho Campos,

Nádia Lago Costa,

Paula Frizera Vassallo,

Andréa Rodrigues Chaves,

Denise Coutinho Endringer,

José Geraldo Mill,

Paulo R. Filgueiras,

Wanderson Romão

Publication year - 2022

Publication title -

journal of proteome research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.644

H-Index - 161

eISSN - 1535-3907

pISSN - 1535-3893

DOI - 10.1021/acs.jproteome.2c00148

Subject(s) - mass spectrometry , false positive paradox , saliva , fourier transform ion cyclotron resonance , chromatography , covid-19 , sample preparation , true positive rate , linear discriminant analysis , support vector machine , chemistry , artificial intelligence , computer science , medicine , biochemistry , disease , infectious disease (medical specialty)

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