Package: qpcrNorm 1.65.0

Jessica Mar

qpcrNorm: Data-driven normalization strategies for high-throughput qPCR data.

The package contains functions to perform normalization of high-throughput qPCR data. Basic functions for processing raw Ct data plus functions to generate diagnostic plots are also available.

Authors:Jessica Mar

qpcrNorm_1.65.0.tar.gz
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qpcrNorm_1.65.0.tgz(r-4.5-any)qpcrNorm_1.65.0.tgz(r-4.4-any)qpcrNorm_1.65.0.tgz(r-4.3-any)
qpcrNorm_1.65.0.tar.gz(r-4.5-noble)qpcrNorm_1.65.0.tar.gz(r-4.4-noble)
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qpcrNorm.pdf |qpcrNorm.html✨
qpcrNorm/json (API)

# Install 'qpcrNorm' in R:
install.packages('qpcrNorm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On BioConductor:qpcrNorm-1.65.0(bioc 3.21)qpcrNorm-1.64.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

preprocessinggeneexpression

3.60 score 3 scripts 312 downloads 2 mentions 10 exports 9 dependencies

Last updated 5 months agofrom:434cba8e5e. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winNOTEFeb 28 2025
R-4.5-macNOTEFeb 28 2025
R-4.5-linuxNOTEFeb 28 2025
R-4.4-winNOTEFeb 28 2025
R-4.4-macNOTEFeb 28 2025
R-4.3-winNOTEFeb 28 2025
R-4.3-macNOTEFeb 28 2025

Exports:calcCVctQcmatrixByPlatenormQpcrHouseKeepingGenesnormQpcrQuantilenormQpcrRankInvariantplotVarMeanreadQpcrreadQpcrBatchwriteQpcr

Dependencies:affyaffyioBiobaseBiocGenericsBiocManagergenericslimmapreprocessCorestatmod

qPCR Normalization Example

Rendered fromqpcrNorm.Rnwusingutils::Sweaveon Feb 28 2025.

Last update: 2013-11-01
Started: 2013-11-01