Metadata-Version: 2.4
Name: mofapy2
Version: 0.7.4
Summary: Multi-omics factor analysis
License: LGPL-3.0
License-File: LICENSE
Author: Ricard Argelaguet
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Dist: h5py (>=3,<4)
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn (>=1,<2)
Requires-Dist: scipy (>=1,<2)
Project-URL: Homepage, https:/biofam.github.io/MOFA2/
Project-URL: Repository, https://github.com/bioFAM/mofapy2
Description-Content-Type: text/markdown

# Multi-Omics Factor Analysis

[![PyPi version](https://img.shields.io/pypi/v/mofapy2)](https://pypi.org/project/mofapy2)

MOFA is a factor analysis model that provides a general framework for the integration of multi-omic data sets in an unsupervised fashion.  
This repository contains `mofapy2` Python library source code.

- For the downstream analysis in Python please check the mofax package: https://github.com/bioFAM/mofax
- For the downstream analysis in R please check the MOFA2 package: https://github.com/bioFAM/MOFA2

Please [visit our website](https://biofam.github.io/MOFA2/) for details, tutorials, and much more.

## Installation

Install the stable version from the Python Package Index:
```
pip install mofapy2
```

Or install the latest development version from the repository:
```
pip install git+https://github.com/bioFAM/mofapy2@dev --force-reinstall --no-deps
```



