PCRedux: PCRedux - quantitative PCR Data Mining and Machine Learning...

In PCRuniversum/PCRedux: Quantitative Polymerase Chain Reaction (qPCR) Data Mining and Machine Learning Toolkit

PCRedux - quantitative PCR Data Mining and Machine Learning Toolkit

Description

PCRedux package is a toolbox for the analysis of sigmoid curve (qPCR) data.

Machine learning

In machine learning and statistics, the classification should be used to identify a new unknown observation. This observation is assigned to a number of categories. One basis is training data sets containing observations with known classes. Using the example of sigmoid amplification curves, this could be an assignment to the class "negative","ambiguous" or "positive". Basically, a number of descriptors (e. g., characteristics of curvature) are required to be able to assign classes. This package contains functions for extracting characteristics. In addition, the package contains data sets of classified amplification curves.

Author(s)

Stefan Roediger, Michal Burdukiewcz, Andrej-Nikolai Spiess, Konstantin A. Blagodatskikh

See Also

Useful links:

• https://CRAN.R-project.org/package=PCRedux

• Report bugs at https://github.com/PCRuniversum/PCRedux/issues

Examples

# Use the mblrr function to analyse amplification curves
library(qpcR)
mblrr(x=boggy[, 1], y=boggy[, 2])

PCRuniversum/PCRedux documentation built on July 30, 2024, 8 p.m.