Abstract Various Foundation Models (FMs) have been built based on the pre-training and
fine-tuning framework to analyze single-cell data with different degrees of success. In this …

The rapid advancement of high-throughput sequencing and other assay technologies has
resulted in the generation of large and complex multi-omics datasets, offering …

Predicting how perturbation of a target gene affects the expression of other genes is a critical
component of understanding cell biology. This is a challenging prediction problem as the …

Predicting single-cell transcriptomes following perturbation is crucial for understanding gene
regulation and guiding drug discovery. Yet, the complexity of perturbation effects pose …

Understanding perturbations at the single-cell level is essential for unraveling cellular
mechanisms and their implications in health and disease. The growing availability of …