Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit

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.

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PCRedux Quantitative PCR Machine Learning Helper Tool


PCRedux is available on CRAN. However, you can install the latest development version of the code using the following code:



The manual is available online.


The 0.2.6 release adds more data sets and features

Reference manual

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1.1 by Stefan Roediger, 10 months ago


Report a bug at https://github.com/PCRuniversum/PCRedux/issues

Browse source code at https://github.com/cran/PCRedux

Authors: Stefan Roediger [cre, aut] , Michal Burdukiewicz [aut] , Andrej-Nikolai Spiess [aut] , Konstantin A. Blagodatskikh [aut] , Dominik Rafacz [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports bcp, changepoint, chipPCR, ecp, fda.usc, MBmca, pbapply, pracma, qpcR, robustbase, segmented, shiny, stats, utils, zoo

Suggests DT, future, knitr, listenv, RDML, readxl, rmarkdown, shinycssloaders, spelling, testthat, xtable

See at CRAN