Corneal meta-atlas command line predictor
Project description
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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
cmaclp-0.1.1-py3-none-any.whl
(17.3 kB
view hashes)
