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.


sigQC

This directory contains source code, sample code, and a vignette describing the methodology for gene signature quality control as defined by the sigQC methodology.

The method is described in detail in protocol format at https://www.nature.com/articles/s41596-019-0136-8, in the article ``Guidelines for using sigQC for systematic evaluation of gene signatures'' by Andrew Dhawan, Alessandro Barberis, Wei-Chen Cheng, Enric Domingo, Catharine West, Tim Maughan, Jacob Scott, Adrian L. Harris, and Francesca M. Buffa.

If using, please cite our work as follows:

Dhawan, Andrew, Alessandro Barberis, Wei-Chen Cheng, Enric Domingo, Catharine West, Tim Maughan, Jacob G. Scott, Adrian L. Harris, and Francesca M. Buffa. ``Guidelines for using sigQC for systematic evaluation of gene signatures.'' Nature protocols 14, no. 5 (2019): 1377-1400.

Reference manual

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install.packages("sigQC")

0.1.24 by Andrew Dhawan, 2 years ago


Browse source code at https://github.com/cran/sigQC


Authors: Andrew Dhawan [aut, cre] , Alessandro Barberis [aut] , Wei-Chen Cheng [aut] , Francesca Buffa [aut, ths]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports MASS, lattice, KernSmooth, cluster, nnet, class, gridGraphics, biclust, gplots, ComplexHeatmap, fmsb, moments, grDevices, graphics, stats, utils, mclust, GSVA, circlize

Suggests knitr, rmarkdown, testthat, RankProd


See at CRAN