A computational solution to improve biomarker reproducibility during long-term projects

Biomarkers are fundamental to basic and clinical research outcomes by reporting host responses and providing insight into disease pathophysiology. Measuring biomarkers with research-use ELISA kits is universal, yet lack of kit standardization and unexpected lot-to-lot variability presents analytic c...

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Veröffentlicht in:	PloS one 2019-04, Vol.14 (4), p.e0209060-e0209060
Hauptverfasser:	Feng, Feng, Thompson, Morgan P, Thomas, Beena E, Duffy, Elizabeth R, Kim, Jiyoun, Kurosawa, Shinichiro, Tashjian, Joseph Y, Wei, Yibing, Andry, Chris, Stearns-Kurosawa, D J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alzheimer's disease Antigens Biological markers Biomarkers Biomarkers, Tumor - analysis Biomarkers, Tumor - blood Cancer Cancer patients Clinical trials Computation Computer applications Control limits Data analysis Data processing Enzyme-linked immunosorbent assay Enzyme-Linked Immunosorbent Assay - methods Enzyme-Linked Immunosorbent Assay - standards Enzymes Health aspects Humans Immunoassay Laboratories Mathematical analysis Medical research Medicine Neoplasms - blood Neoplasms - diagnosis Pathology Plasma Quality Control Reagent Kits, Diagnostic - standards Reference Standards Reproducibility Reproducibility of Results Software Standardization Studies Time Factors Variability
Online-Zugang:	Volltext
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