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 title: GENetLib
 lang: en
-description: GENetLib is a Python library designed for gene-environment interaction analysis via neural network, 
-addressing the analytical challenges in complex disease research. 
-Its comprehensive and flexible framework is capable of handling a variety of data types, 
-including scalar and functional data, and supports diverse output requirements such as binary, continuous, and survival analysis. 
-By integrating minimax concave penalty and $L_2$-norm regularization within a neural network estimation framework, 
-GENetLib offers an innovative solution for high-dimensional genetic data analysis. 
-Demonstrating precision in analysis and ease of use through rigorous simulation and real-data testing, 
-GENetLib offers substantial support for the implementation of gene-environment interaction studies.
-
+description: GENetLib is a Python library designed for gene-environment interaction analysis via neural network.
 remote_theme: rundocs/jekyll-minima
 
 readme_index: