anchors


Nameanchors JSON
Version 0.3.1 PyPI version JSON
download
home_pagehttps://github.com/gpp-rnd/anchors
SummaryPython package for calculating scores from ancnchor or modifier screens
upload_time2023-06-20 16:01:38
maintainer
docs_urlNone
authorPeter Carl DeWeirdt
requires_python>=3.5
licenseMIT license
keywords anchors
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI
coveralls test coverage No coveralls.
            =======
anchors
=======


.. image:: https://img.shields.io/pypi/v/anchors.svg
        :target: https://pypi.python.org/pypi/anchors

.. image:: https://img.shields.io/travis/gpp-rnd/anchors.svg
        :target: https://travis-ci.com/gpp-rnd/anchors

.. image:: https://readthedocs.org/projects/anchors/badge/?version=latest
        :target: https://anchors.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




Python package for calculating scores from ancnchor or modifier screens


* Free software: MIT license
* Documentation: https://anchors.readthedocs.io.

Tutorial
--------
To install::

    $ pip install anchors

Basic Usage
^^^^^^^^^^^
.. code:: python

    import pandas as pd
    from anchors import get_guide_residuals, get_gene_residuals
    lfc_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/parp_example_lfcs.csv')
    refernce_condition_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/parp_example_mapping.csv')
    guide_residuals, model_info, model_fit_plots = get_guide_residuals(lfc_df, refernce_condition_df)
    guide_mapping_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/brunello_guide_map.csv')
    gene_residuals = get_gene_residuals(guide_residuals, guide_mapping_df)

Features
--------

* TODO

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2020-09-21)
------------------

* First release on PyPI.

0.3.0 (2020-09-21)
------------------

* Calculate guide and gene residuals.

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/gpp-rnd/anchors",
    "name": "anchors",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.5",
    "maintainer_email": "",
    "keywords": "anchors",
    "author": "Peter Carl DeWeirdt",
    "author_email": "petedeweirdt@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/97/b3/68d2af68b5a39a9c228cb2309f10d8b93a4118dfe8aca9f265bfb73539cd/anchors-0.3.1.tar.gz",
    "platform": null,
    "description": "=======\nanchors\n=======\n\n\n.. image:: https://img.shields.io/pypi/v/anchors.svg\n        :target: https://pypi.python.org/pypi/anchors\n\n.. image:: https://img.shields.io/travis/gpp-rnd/anchors.svg\n        :target: https://travis-ci.com/gpp-rnd/anchors\n\n.. image:: https://readthedocs.org/projects/anchors/badge/?version=latest\n        :target: https://anchors.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n\n\n\nPython package for calculating scores from ancnchor or modifier screens\n\n\n* Free software: MIT license\n* Documentation: https://anchors.readthedocs.io.\n\nTutorial\n--------\nTo install::\n\n    $ pip install anchors\n\nBasic Usage\n^^^^^^^^^^^\n.. code:: python\n\n    import pandas as pd\n    from anchors import get_guide_residuals, get_gene_residuals\n    lfc_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/parp_example_lfcs.csv')\n    refernce_condition_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/parp_example_mapping.csv')\n    guide_residuals, model_info, model_fit_plots = get_guide_residuals(lfc_df, refernce_condition_df)\n    guide_mapping_df = pd.read_csv('https://raw.githubusercontent.com/PeterDeWeirdt/anchor_screen_parp_lfcs/master/brunello_guide_map.csv')\n    gene_residuals = get_gene_residuals(guide_residuals, guide_mapping_df)\n\nFeatures\n--------\n\n* TODO\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2020-09-21)\n------------------\n\n* First release on PyPI.\n\n0.3.0 (2020-09-21)\n------------------\n\n* Calculate guide and gene residuals.\n",
    "bugtrack_url": null,
    "license": "MIT license",
    "summary": "Python package for calculating scores from ancnchor or modifier screens",
    "version": "0.3.1",
    "project_urls": {
        "Homepage": "https://github.com/gpp-rnd/anchors"
    },
    "split_keywords": [
        "anchors"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "c7d08d00d3e1b35a1d7e16191e6cfe7b8c6f6192cbabd2f8c20b3dc321c7def6",
                "md5": "59d48dbbbab35311abbaf58d51debb0f",
                "sha256": "a21178f6a4f342178f79c1e379e9c55af498a02621de0f94f0537d99a12d497a"
            },
            "downloads": -1,
            "filename": "anchors-0.3.1-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "59d48dbbbab35311abbaf58d51debb0f",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": ">=3.5",
            "size": 6877,
            "upload_time": "2023-06-20T16:01:37",
            "upload_time_iso_8601": "2023-06-20T16:01:37.330279Z",
            "url": "https://files.pythonhosted.org/packages/c7/d0/8d00d3e1b35a1d7e16191e6cfe7b8c6f6192cbabd2f8c20b3dc321c7def6/anchors-0.3.1-py2.py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "97b368d2af68b5a39a9c228cb2309f10d8b93a4118dfe8aca9f265bfb73539cd",
                "md5": "2f5df574d72fb5c7d0287bed13ef93c1",
                "sha256": "9a3b724b5985955c68d29cadf5d666865b2526eac6a9f234959457e99a0a2ccb"
            },
            "downloads": -1,
            "filename": "anchors-0.3.1.tar.gz",
            "has_sig": false,
            "md5_digest": "2f5df574d72fb5c7d0287bed13ef93c1",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.5",
            "size": 13016,
            "upload_time": "2023-06-20T16:01:38",
            "upload_time_iso_8601": "2023-06-20T16:01:38.787492Z",
            "url": "https://files.pythonhosted.org/packages/97/b3/68d2af68b5a39a9c228cb2309f10d8b93a4118dfe8aca9f265bfb73539cd/anchors-0.3.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-06-20 16:01:38",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "gpp-rnd",
    "github_project": "anchors",
    "travis_ci": true,
    "coveralls": false,
    "github_actions": false,
    "tox": true,
    "lcname": "anchors"
}
        
Elapsed time: 0.81489s