Kim discusses the complexities of gene expression across different tissue types and the role of knowledge graphs in training neural network models. With only a small percentage of gene variants understood, experimental approaches are crucial for establishing connections between variants and gene expression changes. Interestingly, simple models often yield accurate predictions, demonstrating the power of foundational genetic relationships.
