- recipe bioconductor-rscudo
Signature-based Clustering for Diagnostic Purposes
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/rScudo.html
- License
GPL-3
- Recipe
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¶
-
- Versions
1.10.0-0
,1.8.0-0
,1.6.0-1
,1.6.0-0
,1.4.0-0
,1.2.0-0
,1.0.0-1
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocgenerics
>=0.40.0,<0.41.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
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 quay.io/biocontainers/bioconductor-rscudo:<tag>
(see bioconductor-rscudo/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-rscudo/README.html)