drLumi

drlumi provides quality-control and data-management functions for multiplex bead-based immunoassay data, enabling calibration optimization, background-noise treatment, limits of quantification estimation, and standard-curve quality control for measurement of cytokines, chemokines, and growth factors, with applications including evaluation of correlates of risk or protection in RTS,S malaria vaccine studies.

Key Features:

• Data Management: Functions to manage and organize multiplex immunoassay data for downstream analysis.
• Calibration Optimization: Implementation of three distinct dose-response functions to address suboptimal calibration and improve analyte quantification.
• Background Noise Treatment: Four different approaches for mitigating background signal to refine detection of true assay signals.
• Limits of Quantification Estimation: Three methodologies for estimating limits of quantification to increase the number of samples within quantifiable bounds.
• Quality Control Functions: Detection of outliers, estimation of confidence or prediction intervals, and calculation of summary statistics to assess standard-curve robustness.

Scientific Applications:

• Vaccine response and correlates analyses: Quantification of multiple analytes to evaluate vaccine efficacy and correlates of risk or protection, exemplified by RTS,S malaria vaccine studies.
• Biomarker measurement in complex samples: Precise measurement of cytokines, chemokines, growth factors, and other disease markers in multiplex immunoassay datasets.

Methodology:

Selection and fitting of dose-response functions; application of background-noise reduction approaches; estimation of limits of quantification; detection of outliers; estimation of confidence or prediction intervals; and calculation of summary statistics.