Accessible and robust machine learning approaches to improve the opsin genotype-phenotype map.

Abstract excerpt

Predicting phenotypes from genetic variation is a central challenge in biology. Here, machine learning (ML) offers great promise, but its use is often limited by poor accessibility, difficulty with interpretability, and a "data-cliff"-a gap between abundant sequences and scarce functional measurements. To develop more robust methods for genotype-phenotype prediction, an outstanding model system is opsin genes,...

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