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GitHub / SchriderLab / Timesweeper
Python package for detecting positive selective sweeps using time-series genomics sampling data.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SchriderLab%2FTimesweeper
Stars: 16
Forks: 2
Open Issues: 3
License: mit
Language: Python
Repo Size: 5.17 MB
Dependencies:
8
Created: over 4 years ago
Updated: 20 days ago
Last pushed: about 1 month ago
Last synced: 11 days ago
Commit Stats
Commits: 775
Authors: 7
Mean commits per author: 110.71
Development Distribution Score: 0.204
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/SchriderLab/Timesweeper
Topics: convolutional-neural-networks, genetics, neural-networks, population-genetics, population-genomics
Files
Dependencies
- matplotlib *
- numpy *
- pandas *
- scikit-allel *
- scikit-learn *
- scipy *
- tensorflow *
- tqdm *