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"author_email": "florian.wagner@duke.edu",
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"description": "..\n Copyright (c) 2015, 2016 Florian Wagner\n\n This file is part of GO-PCA.\n\n GO-PCA is free software: you can redistribute it and/or modify\n it under the terms of the GNU General Public License, Version 3,\n as published by the Free Software Foundation.\n\n This program is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n GNU General Public License for more details.\n\n You should have received a copy of the GNU General Public License\n along with this program. If not, see .\n\nGO-PCA\n======\n\n| |pypi| |versions| |license|\n\n=========== =================================================\n**latest** |travis-latest| |codecov-latest| |docs-latest|\n**develop** |travis-develop| |codecov-develop| |docs-develop|\n=========== =================================================\n\nGO-PCA (`Wagner, 2015`__) is an unsupervised method to **explore gene\nexpression data using prior knowledge**. This is a free and open-source\nimplementation of GO-PCA in Python.\n\n__ go_pca_paper_\n\nBriefly, GO-PCA combines `principal component analysis (PCA)`__ with\n`nonparametric GO enrichment analysis`__ in order to generate **signatures**,\ni.e., small sets of genes that are both strongly correlated and closely\nfunctionally related. It then visualizes the expression profiles of all\nsignatures in a **signature matrix**, designed to serve as a systematic and\neasily interpretable representation of biologically relevant expression\npatterns.\n\n__ pca_\n__ go_enrich_\n\n.. _go_pca_paper: https://dx.doi.org/10.1371/journal.pone.0143196\n.. _pca: https://en.wikipedia.org/wiki/Principal_component_analysis\n.. _go_enrich: https://dx.doi.org/10.1186/1471-2105-10-48\n\nLinks\n-----\n\n- `Demos `_\n- `Documentation `_\n- `Download of GO-derived gene sets `_\n- `PLoS One paper `_\n\nSupport and Development\n-----------------------\n\n- For feature requests and bug reports, please create an `issue`__ on GitHub.\n- For technical questions, please feel free to `email`__.\n- If you want to contribute code to GO-PCA, please `email`__ and/or create a\n pull request on GitHub.\n- For a list of the latest changes, please see the\n `Changelog `_.\n\n__ github_issue_\n__ email_\n__ email_\n\n.. _github_issue: https://github.com/flo-compbio/gopca/issues\n.. _email: mailto:florian.wagner@duke.edu\n\nHow to Cite GO-PCA\n------------------\n\nIf you use GO-PCA in your research, please cite `Wagner (PLoS One, 2015)`__\n\n__ wagner_pone_\n\n.. _wagner_pone: https://dx.doi.org/10.1371/journal.pone.0143196\n\nCopyright and License\n---------------------\n\nCopyright (c) 2015, 2016 Florian Wagner\n\n::\n\n GO-PCA is free software: you can redistribute it and/or modify\n it under the terms of the GNU General Public License, Version 3,\n as published by the Free Software Foundation.\n\n This program is distributed in the hope that it will be useful,\n but WITHOUT ANY WARRANTY; without even the implied warranty of\n MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n GNU General Public License for more details.\n\n You should have received a copy of the GNU General Public License\n along with this program. If not, see .\n\n.. |pypi| image:: https://img.shields.io/pypi/v/gopca.svg\n :target: https://pypi.python.org/pypi/gopca\n :alt: PyPI version\n\n.. |versions| image:: https://img.shields.io/pypi/pyversions/gopca.svg\n :target: https://pypi.python.org/pypi/gopca\n :alt: Python versions supported\n\n.. |license| image:: https://img.shields.io/pypi/l/gopca.svg\n :target: https://pypi.python.org/pypi/gopca\n :alt: License\n\n.. |travis-latest| image:: https://travis-ci.org/flo-compbio/gopca.svg?branch=master\n :alt: Build Status (master branch)\n :scale: 100%\n :target: https://travis-ci.org/flo-compbio/gopca\n\n.. |travis-develop| image:: https://travis-ci.org/flo-compbio/gopca.svg?branch=develop\n :alt: Build Status (develop branch)\n :scale: 100%\n :target: https://travis-ci.org/flo-compbio/gopca\n\n.. |codecov-latest| image:: https://codecov.io/github/flo-compbio/gopca/coverage.svg?branch=master\n :alt: Coverage (master branch)\n :target: https://codecov.io/github/flo-compbio/gopca?branch=master\n\n.. |codecov-develop| image:: https://codecov.io/github/flo-compbio/gopca/coverage.svg?branch=develop\n :alt: Coverage (develop branch)\n :target: https://codecov.io/github/flo-compbio/gopca?branch=develop\n\n.. |docs-latest| image:: https://readthedocs.org/projects/gopca/badge/?version=latest\n :alt: Documentation Status (master branch)\n :scale: 100%\n :target: https://gopca.readthedocs.org/en/latest\n\n.. |docs-develop| image:: https://readthedocs.org/projects/gopca/badge/?version=develop\n :alt: Documentation Status (develop branch)\n :scale: 100%\n :target: https://gopca.readthedocs.org/en/develop\n\n\n\n",
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