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Mean signal intensity cut-offs for individual antigens in a..:

Etienne Brochot (441988) ; Vianney Souplet (707157) ; Pauline Follet (11943937)...
https://figshare.com/articles/dataset/Mean_signal_intensity_cut-offs_for_individual_antigens_in_arbitrary_units_a_u_/18336694. , 2022

Link: https://doi.org/10.1371/journal.pone.0262311.t002

RT Journal
T1 <Title>Mean signal intensity cut-offs for individual antigens in arbitrary units (a.u.)</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18336694&Exemplar=1&LAN=DE
				
A1 Etienne Brochot (441988)
A1 Vianney Souplet (707157)
A1 Pauline Follet (11943937)
A1 Pauline Ponthieu (11943940)
A1 Christophe Olivier (21788)
A1 Gaël Even (3949391)
A1 Christophe Audebert (3605774)
A1 Rémi Malbec (11943943)
YR 2022
K1 Microbiology
K1 Ecology
K1 Immunology
K1 Cancer
K1 Infectious Diseases
K1 Virology
K1 Biological Sciences not elsewhere classified
K1 serological assays based
K1 long time period
K1 improve diagnostic performances
K1 found higher responses
K1 209 sera collected
K1 multiplex serological assay
K1 multiplex igg assay
K1 receptor binding domain
K1 neutralizing antibody titers
K1 multiple viral epitope
K1 div >< p
K1 s2 antibodies seemed
K1 igg immune response
K1 2 </ p
K1 immune response
K1 multiplex immunoassays
K1 terminal domain
K1 viral infection
K1 versatile tool
K1 tested iggs
K1 patients develop
K1 mild form
K1 last longer
K1 hospitalized patients
K1 hospitalized ones
K1 eight months
K1 disease severity
K1 differentiate vaccination
K1 derived domains
K1 considered individually
K1 comprehensive picture
K1 combined detection
K1 antibody potential
K1 accurately assess
K1 61 patients
JF https://figshare.com/articles/dataset/Mean_signal_intensity_cut-offs_for_individual_antigens_in_arbitrary_units_a_u_/18336694
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0262311.t002
DO https://doi.org/10.1371/journal.pone.0262311.t002
SF ELIB - SuUB Bremen

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