package for inferring models of sequence-function relationships from mave datasets
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mavenn-0.15.tar.gz
(9.9 MB
view hashes)
Built Distribution
mavenn-0.15-py2.py3-none-any.whl
(10.1 MB
view hashes)
Close
Hashes for mavenn-0.15-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 14eea164ddf246f29d0666c02a8f475b9e4e40d81fd4763702f82862ab4fdb84 |
|
MD5 | 9822d6a9b7d551d31bb79cf0c8e0996b |
|
BLAKE2b-256 | cc0eb440f5b28c76f6342cb6d038289c9578ee13f8300f4d4ad7e78e4f7f79f7 |