A quantitative-genetic decomposition of a neural network

Efficient GFP variant design with a simple neural network ensemble

AutoOpenRaman\: Low-cost, automated Raman spectroscopy

Mapping the spectrum of archaeal protein sequence–structure relationships

Automating identification and quantification of mouse scratch behavior in video recordings

Assembling and annotating an Asgard archaea and giant virus dataset of over 840,000 proteins

G–P Atlas\: A neural network framework for mapping genotypes to many phenotypes

Modeling human monogenic diseases using the choanoflagellate *Salpingoeca rosetta*

Modeling human monogenic diseases using the tunicate *Ciona intestinalis*

A framework for modeling human monogenic diseases by deploying organism selection

Epistasis and deep learning in quantitative genetics

Predicting peptides from tick salivary glands that suppress host detection