digdriver
Dig is a computational method that leverages transfer-learning to test for positive selection across arbitrary genomic elements in arbitrary cohorts while requiring the resources only of a personal computer
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0.1
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Summary
Dig is a computational method that leverages transfer-learning to test for positive selection across arbitrary genomic elements in arbitrary cohorts while requiring the resources only of a personal computer
Information Last Updated
Mar 25, 2025 at 16:28
License
MIT
Total Downloads
178
Platforms
Linux 64 Version: 0.1
macOS 64 Version: 0.1