Comprehensive normalization and binary classification methods for enhanced sensitivity and reproducibility in Luminex assay quantitation.

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Title: Comprehensive normalization and binary classification methods for enhanced sensitivity and reproducibility in Luminex assay quantitation.
Authors: Burns BA; Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States of America., Shaw CA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, United States of America; Department of Statistics, Rice University, Houston, TX 77005, United States of America., Chandra M; Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States of America., Forconi CS; Division of Infectious Diseases in Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01605, United States of America., Moormann AM; Division of Infectious Diseases in Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01605, United States of America., Konduri V; Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States of America; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, United States of America., Tubman VN; Texas Children's Cancer and Hematology Centers, Texas Children's Hospital, Houston, TX, United States of America; Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, United States of America., Decker WK; Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States of America; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX 77030, United States of America; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX 77030, United States of America. Electronic address: decker@bcm.edu.
Source: Journal of immunological methods [J Immunol Methods] 2025 Mar; Vol. 538, pp. 113826. Date of Electronic Publication: 2025 Feb 08.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 1305440 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7905 (Electronic) Linking ISSN: 00221759 NLM ISO Abbreviation: J Immunol Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7905
DOI:10.1016/j.jim.2025.113826