Large pretrained models have become foundation models leading to breakthroughs in
natural language processing and related fields. Developing foundation models for …

Understanding a cell's expression response to genetic perturbations helps to address
important challenges in biology and medicine. This includes the inference of gene circuits …

Recent advancements in single-cell genomics necessitate precision in gene panel selection
to interpret complex biological data effectively. Those methods aim to streamline the …

High-throughput single-cell cytometry data are crucial for understanding immune system's
involvement in diseases and responses to treatment. Traditional methods for annotating …

The design of custom drugs with specific biological activity is a extremely difficult task, but it
holds the potential to generate molecules without the discovery of target genes, beyond the …

Genetic perturbations (ie knockouts, variants) have laid the foundation for our understanding
of many diseases, implicating pathogenic mechanisms and indicating therapeutic targets …