Philip S. Kearns

This study shows that expanding training data diversity with synthetic gene libraries improves machine learning models' ability to generate functional fluorescent proteins beyond natural sequence space.

The paper describes a method to improve sgRNA library uniformity and reduce costs by modifying synthesis workflows and addressing transcription biases.