About: Multiplex assays for the identification of serological signatures of SARS-CoV-2 infection: an antibody-based diagnostic and machine learning study

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About: Multiplex assays for the identification of serological signatures of SARS-CoV-2 infection: an antibody-based diagnostic and machine learning study Goto Sponge NotDistinct Permalink

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Author	Sèze, Jérôme de (1966-.... ; neurologue) Bruel, Timothée (1985-....) Kremer, Stéphane (19..-.... ; auteur en génie biologique) Terrier, Benjamin (1979-....) Fontanet, Arnaud (1961-.... ; épidémiologiste) Demeret, Caroline (19..-.... ; biologiste) Backovic, Marija (19..-....) Petres, Stéphane (19..-....) Mueller, Ivo (19..-.... ; épidémiologiste) Rosado Sandoval, Javier Jason (1988-....) White, Michael (19..-....) Nekkab, Narimane (1991-....)
Bibliographic Citation	Rosado Jason, Pelleau Stéphane, Cockram Charlotte, Merkling Sarah Hélène, Nekkab Narimane, Demeret Caroline, Meola Annalisa, Kernéis Solen, Terrier Benjamin, Fafi-Kremer Samira, de Seze Jerome, Bruel Timothée, Déjardin François, Pêtres Stéphane, Longley Rhea, Fontanet Arnaud, Backovic Marija, Mueller Ivo. Multiplex assays for the identification of serological signatures of SARS-CoV-2 infection: an antibody-based diagnostic and machine learning study. The Lancet Microbe, Elsevier, 2021, 2 (2), pp.e60-e69. ⟨10.1016/S2666-5247(20)30197-X⟩ Rosado Jason, Pelleau Stéphane, Cockram Charlotte, Merkling Sarah Hélène, Nekkab Narimane, Demeret Caroline, Meola Annalisa, Kernéis Solen, Terrier Benjamin, Fafi-Kremer Samira, de Seze Jerome, Bruel Timothée, Déjardin François, Pêtres Stéphane, Longley Rhea, Fontanet Arnaud, Backovic Marija, Mueller Ivo. Multiplex assays for the identification of serological signatures of SARS-CoV-2 infection: an antibody-based diagnostic and machine learning study. The Lancet Microbe, 2021, 2 (2), pp.e60-e69. ⟨10.1016/S2666-5247(20)30197-X⟩
Title	Multiplex assays for the identification of serological signatures of SARS-CoV-2 infection: an antibody-based diagnostic and machine learning study
dc:date	2021
Digital Object Identifier (DOI)	10.1016/S2666-5247(20)30197-X

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