recipe sam-algorithm

The Self-Assembling-Manifold algorithm

Homepage:

https://github.com/atarashansky/self-assembling-manifold

License:

MIT / MIT

Recipe:

/sam-algorithm/meta.yaml

package sam-algorithm

versions:

1.0.2-0,  0.9.0-0,  0.8.9-0,  0.8.8-0,  0.8.7-0,  0.8.6-0,  0.8.5-0,  0.8.4-0,  0.8.3-0

depends anndata:

>=0.7.4

depends dill:

depends h5py:

depends harmonypy:

depends hnswlib:

depends numba:

>=0.50.1

depends numpy:

>=1.19.0

depends packaging:

>=0.20.0

depends pandas:

>1.0.0

depends python:

>=3.6

depends scikit-learn:

>=0.23.1

depends scipy:

>=1.3.1

depends umap-learn:

>=0.4.6

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 sam-algorithm

and update with::

   mamba update sam-algorithm

To create a new environment, run:

mamba create --name myenvname sam-algorithm

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/sam-algorithm:<tag>

(see `sam-algorithm/tags`_ for valid values for ``<tag>``)

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