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Related Experiment Video

Updated: May 9, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

nCal: an R package for non-linear calibration.

Youyi Fong¹, Krisztian Sebestyen, Xuesong Yu

¹Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Bioinformatics (Oxford, England)

|August 9, 2013

Summary

The R package nCal offers open-source software for non-linear calibration, essential for biomarker quantification. It features a robust Bayesian model and a user-friendly interface for laboratory scientists.

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Area of Science:

Biomarker quantification
Analytical chemistry
Bioinformatics

Background:

Non-linear calibration is crucial for accurately determining biomarker concentrations.
Existing open-source software options for non-linear calibration are limited.
Accurate biomarker quantification relies on robust concentration-response curve estimation.

Purpose of the Study:

To introduce the R package nCal, a novel open-source software for non-linear calibration.
To provide a user-friendly tool for laboratory scientists to perform biomarker quantification.
To address the gap in stand-alone software for non-linear calibration analysis.

Main Methods:

Development of the R package nCal.
Implementation of a robust, Bayesian hierarchical five-parameter logistic model for curve fitting.
Integration of a simple graphical user interface (GUI) for ease of use.
Inclusion of data import functionality for multiplex bead array assay instrumentation.

Main Results:

nCal provides a new, robust implementation of a five-parameter logistic model for non-linear calibration.
The package offers a user-friendly GUI, making advanced calibration accessible to laboratory scientists.
nCal facilitates data handling from multiplex bead array assays.
The software fills a significant gap in open-source, stand-alone tools for non-linear calibration.

Conclusions:

The R package nCal enhances biomarker quantification through advanced non-linear calibration methods.
nCal offers a valuable, accessible, and open-source solution for laboratory scientists.
The package's features streamline the process of analyzing concentration-response data.