Metadata-Version: 2.1
Name: ifCNV
Version: 0.2.1
Summary: ifCNV
Home-page: https://github.com/SimCab-CHU/ifCNV
Author: Simon Cabello
Author-email: s-cabelloaguilar@chu-montpellier.fr
License: UNKNOWN
Project-URL: Bug Reports, https://github.com/SimCab-CHU/ifCNV/issues
Project-URL: Source, https://github.com/SimCab-CHU/ifCNV
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy (>=1.21)
Requires-Dist: pandas (>=1.3)
Requires-Dist: scikit-learn (>=1.0.1)
Requires-Dist: plotly (>=5.4)
Requires-Dist: pybedtools (>=0.8.2)

# ifCNV : a novel isolation-forest-based package to detect copy number variations from various NGS datasets.

## Installation

### From PyPi (recommended)

Make sure you have python >= 3.6

```sh
$ python -version
Python 3.X.X
```

Install pip (https://pip.pypa.io/en/stable/installation/).

```sh
$ python -m ensurepip --upgrade
```

Install ifCNV (https://pypi.org/project/ifCNV/)

```sh
$ pip install ifCNV
```


