- recipe cospar
A toolkit for dynamic inference of cell fate by integrating state and lineage information.
- Homepage:
- License:
MIT
- Recipe:
- package cospar¶
- versions:
0.4.1-0,0.3.3-0- depends anndata:
>=0.9.2,<0.10.0- depends ete3:
>=3.1.3,<4.0.0- depends fastcluster:
>=1.2.6,<2.0.0- depends gseapy:
>=1.1.3,<2.0.0- depends leidenalg:
>=0.10.2,<0.11.0- depends matplotlib-base:
>=3.7.3,<3.8.0- depends numpy:
>=1.24.4,<2.0.0- depends pandas:
>=2.0.3,<3.0.0- depends plotnine:
>=0.12.4,<0.13.0- depends python:
>=3.9,<3.12- depends scanpy:
>=1.9.8,<2.0.0- depends scikit-learn:
>=1.1.3,<1.2.0- depends scikit-misc:
>=0.1.4,<0.3.0- depends scipy:
>=1.10.1,<2.0.0- depends statsmodels:
>=0.14.2,<0.15.0- depends tqdm:
>=4.66.5,<5.0.0- requirements:
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 cospar and update with:: mamba update cospar
To create a new environment, run:
mamba create --name myenvname cospar
with
myenvnamebeing 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/cospar:<tag> (see `cospar/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/cospar/README.html)
