ArticleBMC genomics2016
Comparison of pre-processing methods for multiplex bead-based immunoassays.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
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- Comprehensive normalization and binary classification methods for enhanced sensitivity and reproducibility in Luminex assay quantitation.Journal of immunological methods · 2025Article
- Reproductomics: Exploring the Applications and Advancements of Computational Tools.Physiological research · 2024Review
- Changes and associations between synovial fluid and magnetic resonance imaging markers of osteoarthritis after high tibial osteotomy.Arthritis research & therapy · 2024Article
- Differential levels of anti-Frontiers in medicine · 2023Article
- Plasma miRNA profile at COVID-19 onset predicts severity status and mortality.Emerging microbes & infections · 2022Article
- Metabolic Profiling at COVID-19 Onset Shows Disease Severity and Sex-Specific Dysregulation.Frontiers in immunology · 2022Article
- Blood Nanoparticles - Influence on Extracellular Vesicle Isolation and Characterization.Frontiers in pharmacology · 2021Review
- Towards Building a Quantitative Proteomics Toolbox in Precision Medicine: A Mini-Review.Frontiers in physiology · 2021Review
- Simultaneous Improvement in the Precision, Accuracy, and Robustness of Label-free Proteome Quantification by Optimizing Data Manipulation Chains.Molecular & cellular proteomics : MCP · 2019Article
- High-throughput Luminex xMAP assay for simultaneous detection of antibodies against rabbit hemorrhagic disease virus, Sendai virus and rabbit rotavirus.Archives of virology · 2019Article
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Authors and funding
6 authors.
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Abstract
backgroundHigh throughput protein expression studies can be performed using bead-based protein immunoassays, such as the Luminex® xMAP® technology. Technical variability is inherent to these experiments and may lead to systematic bias and reduced power. To reduce technical variability, data pre-processing is performed. However, no recommendations exist for the pre-processing of Luminex® xMAP® data.
resultsWe compared 37 different data pre-processing combinations of transformation and normalization methods in 42 samples on 384 analytes obtained from a multiplex immunoassay based on the Luminex® xMAP® technology. We evaluated the performance of each pre-processing approach with 6 different performance criteria. Three performance criteria were plots. All plots were evaluated by 15 independent and blinded readers. Four different combinations of transformation and normalization methods performed well as pre-processing procedure for this bead-based protein immunoassay.
conclusionsThe following combinations of transformation and normalization were suitable for pre-processing Luminex® xMAP® data in this study: weighted Box-Cox followed by quantile or robust spline normalization (rsn), asinh transformation followed by loess normalization and Box-Cox followed by rsn.
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