recipe bioconductor-decomplexdisease

It is designed to find the differential expressed genes (DEGs) for complex disease, which is characterized by the heterogeneous genomic expression profiles. Different from the established DEG analysis tools, it does not assume the patients of complex diseases to share the common DEGs. By applying a bi-clustering algorithm, DECD finds the DEGs shared by as many patients. In this way, DECD describes the DEGs of complex disease in a novel syntax, e.g. a gene list composed of 200 genes are differentially expressed in 30% percent of studied complex disease. Applying the DECD analysis results, users are possible to find the patients affected by the same mechanism based on the shared signatures.






package bioconductor-decomplexdisease

(downloads) docker_bioconductor-decomplexdisease



Depends bioconductor-biocparallel


Depends bioconductor-complexheatmap


Depends bioconductor-deseq2


Depends bioconductor-edger


Depends bioconductor-summarizedexperiment


Depends libgcc-ng


Depends libstdcxx-ng


Depends r-base


Depends r-rcpp




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

conda install bioconductor-decomplexdisease

and update with:

conda update bioconductor-decomplexdisease

or use the docker container:

docker pull<tag>

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