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A Machine Learning-Based Analytic Pipeline Applied to Clinical and Serum IgG Immunoproteome Data To Predict Chlamydia trachomatis Genital Tract Ascension and Incident Infection in Women.
Liu, Chuwen; Mokashi, Neha Vivek; Darville, Toni; Sun, Xuejun; O'Connell, Catherine M; Hufnagel, Katrin; Waterboer, Tim; Zheng, Xiaojing.
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  • Liu C; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Mokashi NV; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Darville T; Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Sun X; Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • O'Connell CM; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Hufnagel K; Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Waterboer T; Infections and Cancer Epidemiology, German Cancer Research Center (Deutsches Krebsforschungszentrum), Heidelberg, Germany.
  • Zheng X; Infections and Cancer Epidemiology, German Cancer Research Center (Deutsches Krebsforschungszentrum), Heidelberg, Germany.
Microbiol Spectr ; 11(4): e0468922, 2023 08 17.
Article en En | MEDLINE | ID: mdl-37318345
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Infecciones por Chlamydia / Chlamydia trachomatis Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Microbiol Spectr Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Infecciones por Chlamydia / Chlamydia trachomatis Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans Idioma: En Revista: Microbiol Spectr Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos