Genetic Perturbation

Genetic perturbation studies aim to understand how altering genes affects cellular behavior, a crucial aspect of drug discovery and disease research. Current research focuses on developing sophisticated computational models, including generative adversarial networks (GANs), optimal transport models, and large language models (LLMs), to predict cellular responses to gene modifications, analyze high-throughput screening data (like optical pooled screening), and design efficient perturbation experiments. These advancements improve the accuracy of predicting treatment effects, identifying key genes, and optimizing experimental design, ultimately accelerating biological discovery and therapeutic development.