2 papers
cs.AI2025
Contextualizing biological perturbation experiments through language
Menghua Wu, Russell Littman, Jacob Levine +4
High-content perturbation experiments allow scientists to probe biomolecular systems at unprecedented resolution, but experimental and analysis costs pose significant barriers to w…
cs.LG2024
Learning Identifiable Factorized Causal Representations of Cellular Responses
Haiyi Mao, Romain Lopez, Kai Liu +4
The study of cells and their responses to genetic or chemical perturbations promises to accelerate the discovery of therapeutic targets. However, designing adequate and insightful…