Article

A Model-agnostic Computational Method for Discovering Gene–Phenotype Relationships and Inferring Gene Networks via<i>in silico</i>Gene Perturbation

2024-02-23

Abstract excerpt

<h4>Background</h4> Deep learning architectures have advanced genotype‒phenotype mappings with precision but often obscure the roles of specific genes and their interactions. Our research introduces a model-agnostic computational methodology, capitalizing on the analytical strengths of deep learning models to serve as biological proxies, enabling interpretation of key gene interactions and their impact on phenotyp...

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Literature Corpus work: c3486608-9819-5e76-9f1d-682bbe4b4c4d
DOI: 10.1101/2024.02.21.24303141

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