recipe cell2cell

Inferring cell-cell interactions from transcriptomes with cell2cell

Homepage:

https://github.com/earmingol/cell2cell

License:

BSD-3-Clause

Recipe:

/cell2cell/meta.yaml

package cell2cell

versions:

0.7.4-2,  0.7.4-1,  0.7.4-0

depends gseapy:

1.0.3

depends kneed:

depends libgcc:

>=13

depends libstdcxx:

>=13

depends matplotlib-base:

>=3.2.0,<3.7.3

depends networkx:

>=2.3

depends numpy:

>=1.16,<2.0

depends openpyxl:

>=2.6.2

depends pandas:

>=1.0.0

depends python:

>=3.9,<3.10.0a0

depends python_abi:

3.9.* *_cp39

depends scanpy:

<=1.9.3

depends scikit-learn:

depends seaborn:

>=0.11.0

depends statannotations:

depends statsmodels:

depends tensorly:

0.8.1

depends tqdm:

depends umap-learn:

depends xlrd:

>=1.1

requirements:

additional platforms:

linux-aarch64

Installation

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 cell2cell

and update with::

   mamba update cell2cell

To create a new environment, run:

mamba create --name myenvname cell2cell

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 quay.io/biocontainers/cell2cell:<tag>

(see `cell2cell/tags`_ for valid values for ``<tag>``)

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