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.

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.biorxiv.org/content/early/2017/11/13/203729, in the article ``sigQC: A procedural approach for standardising the 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.


Reference manual

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0.1.22 by Francesca Buffa, 10 months ago

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

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

Documentation:   PDF Manual  

file LICENSE license

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

Suggests knitr, rmarkdown

See at CRAN