combipyroc


Namecombipyroc JSON
Version 0.1.1a0 PyPI version JSON
download
home_pagehttps://github.com/pyscaffold/pyscaffold/
SummaryFind the best combination of biomarkers in case-control experiment
upload_time2023-04-28 13:34:11
maintainer
docs_urlNone
authorAndrea Gobbini, Ivan Ferrari
requires_python
licenseMIT
keywords specificity biomarker combination diagnostics signatures sensitivity roccurve multimarkers combinatorial marker selection bioinformatics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            .. These are examples of badges you might want to add to your README:
   please update the URLs accordingly

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|

==========
combipyroc
==========


    Porting of combiroc R package.


A longer description of your project goes here...


.. _pyscaffold-notes:

===========================
Installation for developers
===========================
In order to install the development package use `pip`::

    git clone http://git.ingm.ad/core/pycroc_build_test.git
    cd pycroc
    pip install -e .

Then you can import the library as usual::

    import pycroc as pcr

Note that the installation of the required packages is not yet automated.

================================
Installation for users from PyPi
================================

NOTE: required to add

            

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