XMU-Kuangnan-Fang-Team/GENetLib
A Python library for Gene–environment interaction analysis via deep learning
This tool helps researchers analyze how genetic factors and environmental exposures interact to influence health outcomes or disease risk. You input patient data including genetic markers (like SNPs) and environmental information, then it identifies significant gene-environment interactions. Scientists and medical researchers studying complex diseases will find this useful for uncovering patterns in high-dimensional biological data.
196 stars. No commits in the last 6 months.
Use this if you need to analyze complex relationships between genetic data (scalar or densely measured) and environmental factors to predict continuous, binary, or survival outcomes using deep learning.
Not ideal if you prefer traditional statistical methods for gene-environment interaction analysis or do not have access to a Python environment.
Stars
196
Forks
21
Language
Python
License
MIT
Category
Last pushed
Sep 24, 2025
Commits (30d)
0
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