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Machine Learning-Based Fragment Selection Improves the Performance of Qualitative PRM Assays.
Vanderboom, Patrick M; Renuse, Santosh; Maus, Anthony D; Madugundu, Anil K; Kemp, Jennifer V; Gurtner, Kari M; Singh, Ravinder J; Grebe, Stefan K; Pandey, Akhilesh; Dasari, Surendra.
Afiliação
  • Vanderboom PM; Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Renuse S; Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Maus AD; Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Madugundu AK; Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Kemp JV; Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Gurtner KM; Institute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, India.
  • Singh RJ; Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
  • Grebe SK; Center for Molecular Medicine, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore 560029, Karnataka, India.
  • Pandey A; Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota 55905, United States.
  • Dasari S; Department of Laboratory Medicine and Pathology, Division of Clinical Biochemistry and Immunology, Mayo Clinic, Rochester, Minnesota 55905, United States.
J Proteome Res ; 21(8): 2045-2054, 2022 08 05.
Article em En | MEDLINE | ID: mdl-35849720
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article