recipe dca

Count autoencoder for scRNA-seq denoising



APACHE / Apache Software




doi: 10.1101/300681

package dca

(downloads) docker_dca



depends h5py:

depends keras:


depends kopt:

depends numpy:


depends pandas:

depends python:


depends scanpy:

depends scikit-learn:

depends six:




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 dca

and update with::

   mamba update dca

To create a new environment, run:

mamba create --name myenvname dca

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 `dca/tags`_ for valid values for ``<tag>``)

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