{"id":19091990,"url":"https://github.com/allencellmodeling/elastic_net_gene_selection","last_synced_at":"2025-02-22T07:27:45.866Z","repository":{"id":91697812,"uuid":"273060260","full_name":"AllenCellModeling/elastic_net_gene_selection","owner":"AllenCellModeling","description":"scRNA-seq gene selection 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Elastic Net Gene Selection\n\n[![Build Status](https://github.com/AllenCellModeling/elastic_net_gene_selection/workflows/Build%20Master/badge.svg)](https://github.com/AllenCellModeling/elastic_net_gene_selection/actions)\n[![Documentation](https://github.com/AllenCellModeling/elastic_net_gene_selection/workflows/Documentation/badge.svg)](https://AllenCellModeling.github.io/elastic_net_gene_selection)\n[![Code Coverage](https://codecov.io/gh/AllenCellModeling/elastic_net_gene_selection/branch/master/graph/badge.svg)](https://codecov.io/gh/AllenCellModeling/elastic_net_gene_selection)\n\nscRNA-seq gene selection code\n\n---\n\n## Installation\n\nFirst create a conda environment with\n```\nconda create -n enetgsel python=3.8\nconda activate enetgsel\nconda install -c conda-forge fortran-compiler\n```\n\nThen:\n\n**Stable Release:** `pip install elastic_net_gene_selection`\u003cbr\u003e\n**Development Head:** `pip install git+https://github.com/AllenCellModeling/elastic_net_gene_selection.git`\n\n## Documentation\nFor full package documentation please visit [AllenCellModeling.github.io/elastic_net_gene_selection](https://AllenCellModeling.github.io/elastic_net_gene_selection).\n\n## Development\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for information related to developing the code.\n\n## The Four Commands You Need To Know\n1. `pip install -e .[dev]`\n\n    This will install your package in editable mode with all the required development\n    dependencies (i.e. `tox`).\n\n2. `make build`\n\n    This will run `tox` which will run all your tests in both Python 3.6, Python 3.7,\n    and Python 3.8 as well as linting your code.\n\n3. `make clean`\n\n    This will clean up various Python and build generated files so that you can ensure\n    that you are working in a clean environment.\n\n4. `make docs`\n\n    This will generate and launch a web browser to view the most up-to-date\n    documentation for your Python package.\n\n\n## TODO: Additional Optional Setup Steps:\n\n* Register your project with PyPI:\n  * Make an account on [pypi.org](https://pypi.org)\n  * Go to your [GitHub repository's settings and under the `Secrets` tab](https://github.com/AllenCellModeling/elastic_net_gene_selection/settings/secrets),\n  add a secret called `PYPI_TOKEN` with your password for your PyPI account.\n  Don't worry, no one will see this password because it will be encrypted.\n  * Next time you push to the branch: `stable`, GitHub actions will build and deploy\n  your Python package to PyPI.\n  * _Recommendation: Prior to pushing to `stable` it is recommended to install and run\n  `bumpversion` as this will,\n  tag a git commit for release and update the `setup.py` version number._\n\n***Free software: Allen Institute Software License***\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fallencellmodeling%2Felastic_net_gene_selection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fallencellmodeling%2Felastic_net_gene_selection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fallencellmodeling%2Felastic_net_gene_selection/lists"}