recipe bioconductor-crossicc

An Interactive Consensus Clustering Framework for Multi-platform Data Analysis



GPL-3 | file LICENSE



CrossICC utilizes an iterative strategy to derive the optimal gene set and cluster number from consensus similarity matrix generated by consensus clustering and it is able to deal with multiple cross platform datasets so that requires no between-dataset normalizations. This package also provides abundant functions for visualization and identifying subtypes of cancer. Specially, many cancer-related analysis methods are embedded to facilitate the clinical translation of the identified cancer subtypes.

package bioconductor-crossicc

(downloads) docker_bioconductor-crossicc


1.2.0-0, 1.0.0-0

Required By


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

conda install bioconductor-crossicc

and update with:

conda update bioconductor-crossicc

or use the docker container:

docker pull<tag>

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