scGPT: A Generative AI Model for Single-Cell Biology Insights

The paper introduces scGPT, a generative AI model designed for single-cell biology, leveraging over 33 million cell data to unlock new insights in cellular biology and genetic research. By drawing parallels between language structures and cellular biology, where cells are analogous to words defined by genes, scGPT demonstrates its capability to distill essential biological insights, offering enhanced performance in various downstream applications including cell type annotation and gene network inference. This pioneering approach underscores the potential of foundation models in advancing the understanding of complex biological systems.