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        "author": "Daniel Himmelstein",
        "author_email": "daniel.himmelstein@gmail.com",
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            "Intended Audience :: Science/Research",
            "License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Scientific/Engineering :: Information Analysis"
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        "description": "# Hetnets in Python\n\n[![Latest DOI](https://zenodo.org/badge/14475/dhimmel/hetio.svg)](https://zenodo.org/badge/latestdoi/14475/dhimmel/hetio)\n[![GitHub issues](https://img.shields.io/github/issues/hetio/hetio.svg)](https://github.com/hetio/hetio/issues)\n[![Build Status](https://travis-ci.com/hetio/hetio.svg?branch=master)](https://travis-ci.com/hetio/hetio)\n\n## Package relocation\n\n**Critical**:\nThis is the final release before the package name [changes](https://github.com/hetio/hetio/issues/40) to `hetnetpy` from `hetio`.\nFuture development will occur in the `hetio/hetnetpy` [repository](https://github.com/hetio/hetnetpy).\nPyPI releases will be available at <https://pypi.org/project/hetnetpy/>.\n\nUsers of v0.2.11 will see a warning when importing `hetio`.\nThese users should either switch to using `hetnetpy` or downgrade to `hetio<=0.2.10` to avoid the warning.\n\n## Background\n\n**Hetnets**: Hetnets, also [called](https://doi.org/10.15363/thinklab.d104) *heterogeneous information networks*, are graphs with multiple node and edge types. Hetnets are both multipartite and multirelational. They provide a scalable, intuitive, and frictionless structure for data integration.\n\n**Purpose**: This package provides data structures for hetnets and algorithms for [edge prediction](http://het.io/hnep/). It only supports hetnets, which is its primary advantage compared to other network software. Node/edge attributes and edge directionality are supported.\n\n**Impetus**: Development originated with a [study](https://doi.org/10.1371/journal.pcbi.1004259 \"Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes\") to predict disease-associated genes and continues with a successive [study](https://doi.org/10.7554/eLife.26726 \"Systematic integration of biomedical knowledge prioritizes drugs for repurposing\") to repurpose drugs.\n\n**Caution**: Documentation is currently spotty, testing coverage is moderate, and the API is not fully stable. Contributions are welcome. Please use [GitHub Issues](https://github.com/hetio/hetio/issues) for feedback, questions, or troubleshooting.\n\n## Installation\n\n[![PyPI](https://img.shields.io/pypi/v/hetio.svg)](https://pypi.org/project/hetio/)\n\nPlease use Python 3.4 or higher. To install the current PyPI version (recommended), run:\n\n```sh\npip install hetio\n```\n\nFor the latest GitHub version, run:\n\n```sh\npip install git+https://github.com/hetio/hetio.git#egg=hetio\n```\n\nFor development, clone or download-and-extract the repository. Then run `pip install --editable .` from the repository's root directory. The `--editable` flag specifies [editable](https://pythonhosted.org/setuptools/setuptools.html#development-mode) mode, so updating the source updates your installation.\n\nOnce installed, tests can be executed by running `py.test test/` from the repository's root directory. \n\n## Design\n\nA Graph object stores a heterogeneous network and relies on the following classes:\n\n1. Graph\n2. MetaGraph\n3. Edge\n4. MetaEdge\n\n## Release instructions\n\nThis section is only relevant for project maintainers.\nTravis CI deployments are used to upload releases to [PyPI](https://pypi.org/project/hetio) and [GitHub releases](https://github.com/hetio/hetio/releases).\nTo create a new release, do the following:\n\n1. Bump the version in [`__init__.py`](hetio/__init__.py).\n\n2. Add a release notes file in [`release-notes`](release-notes).\n  Format as a commit message that will be used as the GitHub release description.\n\n3. Run the following commands:\n\n  ```sh\n  TAG=v`python setup.py --version`\n  git add hetio/__init__.py release-notes/$TAG.*\n  git commit --message \"Prepare $TAG release\"\n  git push\n  git tag --annotate $TAG --file release-notes/$TAG.*\n  git push upstream $TAG\n  ```\n\n4. Recommended: Edit the GitHub release to improve formatting and add a Zenodo badge.\n\n\n",
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