Quantitative Polymerase Chain Reaction (qPCR) Data Mining and
Machine Learning Toolkit as Described in Burdukiewicz (2022)
<doi:10.21105/Joss.04407>
Extracts features from amplification curve data of quantitative
Polymerase Chain Reactions (qPCR) according to Pabinger 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 of Burdukiewicz 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.
PCRedux
Quantitative PCR Machine Learning Toolkit
Installation
PCRedux is available on CRAN. However, you
can install the latest development version of the code using the following code:
library("devtools")
install_github("PCRuniversum/PCRedux")
Manual
The manual is available online.