PCRedux_datasets: The datasets implemented in PCRedux

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

The datasets implemented in PCRedux

Description

A compilation of datasets for method evaluation/comparison.

Usage

data_sample
RAS002
RAS002_decisions
kbqPCR
decision_res_kbqPCR

Details

data_sample
Setup: Amplification curve data were analyzed with the encu() and the decision_modus() functions.
Details:
Data sets: batsch1, boggy, C126EG595, competimer, dil4reps94, guescini1, karlen1, lievens1, reps384, rutledge, testdat, vermeulen1, VIMCFX96_60, stepone_std.rdml, RAS002.rdml, RAS003.rdml, HCU32_aggR.csv, lc96_bACTXY.rdml.

RAS002
Setup: Amplification curve data of the RAS002.rdml data set.
Details:
Data sets: RAS002.rdml.

RAS002_decisions
Setup: Classes of the amplification curves from the RAS002.rdml data set.
Details:
Data sets: decision_res_RAS002.csv.

Author(s)

Stefan Roediger

References

Roediger, S., Burdukiewicz, M., Spiess, A.-N. & Blagodatskikh, K. Enabling reproducible real-time quantitative PCR research: the RDML package. Bioinformatics (2017). doi:10.1093/bioinformatics/btx528
Roediger, S., Burdukiewicz, M. & Schierack, P. chipPCR: an R package to pre-process raw data of amplification curves. Bioinformatics 31, 2900–2902 (2015)
Ritz, C. & Spiess, A.-N. qpcR: an R package for sigmoidal model selection in quantitative real-time polymerase chain reaction analysis. Bioinformatics 24, 1549–1551 (2008).

Examples

## 'data_sample' dataset.
head(data_sample)

## 'RAS002.rdml' dataset as rda file.
head(RAS002)
head(RAS002_decisions)

PCRedux documentation built on May 11, 2022, 5:18 p.m.