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
qpcrNorm_1.65.0.zip(r-4.5)qpcrNorm_1.65.0.zip(r-4.4)qpcrNorm_1.65.0.zip(r-4.3)
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'))

Peer review:

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 262 downloads 2 mentions 10 exports 9 dependencies

Last updated 23 days agofrom:434cba8e5e. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 31 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:calcCVctQcmatrixByPlatenormQpcrHouseKeepingGenesnormQpcrQuantilenormQpcrRankInvariantplotVarMeanreadQpcrreadQpcrBatchwriteQpcr

Dependencies:affyaffyioBiobaseBiocGenericsBiocManagerlimmapreprocessCorestatmodzlibbioc

qPCR Normalization Example

Rendered fromqpcrNorm.Rnwusingutils::Sweaveon Oct 31 2024.

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