Metadata-Version: 2.1
Name: mavenn
Version: 0.9
Summary: MAVE-NN: genotype-phenotype maps from multiplex assays of variant effect
Home-page: http://mavenn.readthedocs.io
Author: Ammar Tareen, Mahdi Kooshkbaghi, Justin B. Kinney
Author-email: tareen@cshl.edu
License: MIT
Keywords: mave,mpa,global epistasis
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Dist: numpy
Requires-Dist: matplotlib (>=3.2.0)
Requires-Dist: pandas (>=1.3.0)
Requires-Dist: tensorflow (>=2.0.0)
Requires-Dist: sklearn
Requires-Dist: scikit-learn (>=0.22)
Requires-Dist: logomaker (>=0.8)

MAVENN
------

MAVENN is a Python package for inferring quantitative models of sequence-function
relationships from multiplexed assays of variant effects. 
MAVENN currently implements global epistasis regression and noise agnostic regression.
Please see 'https://mavenn.readthedocs.io' 
for additional details.

