recipe bioconductor-cftoolsdata

ExperimentHub data for the cfTools package






The cfToolsData package supplies the data for the cfTools package. It contains two pre-trained deep neural network (DNN) models for the cfSort function. Additionally, it includes the shape parameters of beta distribution characterizing methylation markers associated with four tumor types for the CancerDetector function, as well as the parameters characterizing methylation markers specific to 29 primary human tissue types for the cfDeconvolve function.

package bioconductor-cftoolsdata

(downloads) docker_bioconductor-cftoolsdata



depends bioconductor-data-packages:


depends bioconductor-experimenthub:


depends curl:

depends r-base:




You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-cftoolsdata

and update with::

   mamba update bioconductor-cftoolsdata

To create a new environment, run:

mamba create --name myenvname bioconductor-cftoolsdata

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-cftoolsdata/tags`_ for valid values for ``<tag>``)

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