The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

sigQC: Quality Control Metrics for Gene Signatures

Provides gene signature quality control metrics in publication ready plots. Namely, enables the visualization of properties such as expression, variability, correlation, and comparison of methods of standardisation and scoring metrics.

Version: 0.1.23
Depends: R (≥ 3.3.0)
Imports: MASS, lattice, KernSmooth, cluster, nnet, class, gridGraphics, biclust, gplots, ComplexHeatmap, fmsb, moments, grDevices, graphics, stats, utils, mclust, GSVA, circlize
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), RankProd
Published: 2023-05-11
Author: Andrew Dhawan [aut, cre], Alessandro Barberis [aut], Wei-Chen Cheng [aut], Francesca Buffa [aut, ths]
Maintainer: Andrew Dhawan <adhawan at qmed.ca>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: sigQC citation info
Materials: README
CRAN checks: sigQC results

Documentation:

Reference manual: sigQC.pdf
Vignettes: "sigQC: Gene Signature Quality Control"

Downloads:

Package source: sigQC_0.1.23.tar.gz
Windows binaries: r-devel: sigQC_0.1.23.zip, r-release: sigQC_0.1.23.zip, r-oldrel: sigQC_0.1.23.zip
macOS binaries: r-release (arm64): sigQC_0.1.23.tgz, r-oldrel (arm64): not available, r-release (x86_64): sigQC_0.1.23.tgz, r-oldrel (x86_64): not available
Old sources: sigQC archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sigQC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.