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PCRedux  

Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit as Described in Burdukiewicz (2022) <doi:10.21105/Joss.04407>
View on CRAN: Click here


Download and install PCRedux package within the R console
Install from CRAN:
install.packages("PCRedux")

Install from Github:
library("remotes")
install_github("cran/PCRedux")

Install by package version:
library("remotes")
install_version("PCRedux", "1.2-1")



Attach the package and use:
library("PCRedux")
Maintained by
Stefan Roediger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-20
Latest Update: 2025-06-13
Description:
Extracts features from amplification curve data of quantitative Polymerase Chain Reactions (qPCR) (Pabinger S. et al. (2014) ) for machine learning purposes. Helper functions prepare the amplification curve data for processing as functional data (e.g., Hausdorff distance) or enable the plotting of amplification curve classes (negative, ambiguous, positive). The hookreg() and hookregNL() functions (Burdukiewicz M. et al. (2018) ) can be used to predict amplification curves with an hook effect-like curvature. The pcrfit_single() function can be used to extract features from an amplification curve.
How to cite:
Stefan Roediger (2017). PCRedux: Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit as Described in Burdukiewicz (2022) <doi:10.21105/Joss.04407>. R package version 1.2-1, https://cran.r-project.org/web/packages/PCRedux. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.2.5-1 (2017-11-20 19:14), 0.2.6-1 (2018-06-13 23:38), 0.2.6-4 (2018-10-28 13:50), 0.2.6 (2018-05-14 10:05), 1.0-1 (2019-10-28 23:40), 1.0-2 (2019-10-31 11:30), 1.0-4 (2020-01-07 23:40), 1.0-6 (2020-03-06 09:10), 1.1-2 (2022-05-11 13:40), 1.1 (2021-03-16 16:50), 1.2-0 (2025-06-13 07:00)
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