usnistgov/lantern
Interpretable genotype-phenotype landscape modeling
This project helps biological researchers and geneticists understand how changes in genetic sequences (genotypes) lead to observable traits (phenotypes). It takes your genotype-phenotype data and produces an interpretable model that maps these relationships, revealing patterns in how genetic variations influence characteristics. Scientists studying complex biological systems, like disease resistance or drug response, would use this.
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Use this if you need to build an explainable model to understand the complex, non-linear relationships between genetic variations and their resulting observable traits.
Not ideal if you are looking for a simple statistical correlation tool or a solution for data that isn't focused on genotype-phenotype mapping.
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Language
Python
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Last pushed
Dec 03, 2023
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