cma
This repository defines a command-line tool to predict (clp) datasets according to a cell meta-atlas (cma). At the present time only the meta-atlas for the cornea has been implemented.
Install cmaclp into a conda environment and install with PyPI:
$ conda create -n cmaclp python=3.9 pip
$ conda activate cmaclp
$ pip install cmaclp
To see what each of the current functions do you can run these commands:
$ SVM_performance --help
$ SVM_prediction --help
$ SVM_import --help
$ SVM_pseudobulk --help
The documentation will be extended and improved upon in later versions.
1 maintainer
Metadata
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Release files for cmaclp 0.1.1
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