recipe bioconductor-rscudo

Signature-based Clustering for Diagnostic Purposes






SCUDO (Signature-based Clustering for Diagnostic Purposes) is a rank-based method for the analysis of gene expression profiles for diagnostic and classification purposes. It is based on the identification of sample-specific gene signatures composed of the most up- and down-regulated genes for that sample. Starting from gene expression data, functions in this package identify sample-specific gene signatures and use them to build a graph of samples. In this graph samples are joined by edges if they have a similar expression profile, according to a pre-computed similarity matrix. The similarity between the expression profiles of two samples is computed using a method similar to GSEA. The graph of samples can then be used to perform community clustering or to perform supervised classification of samples in a testing set.

package bioconductor-rscudo

(downloads) docker_bioconductor-rscudo



Required By


With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-rscudo

and update with:

conda update bioconductor-rscudo

or use the docker container:

docker pull<tag>

(see bioconductor-rscudo/tags for valid values for <tag>)