Prediction of cellular morphology changes under perturbations with a transcriptome-guided diffusion model.

Abstract excerpt

Investigating cell morphology changes after perturbations using high-throughput image-based profiling is increasingly important for phenotypic drug discovery, including predicting mechanisms of action (MOA) and compound bioactivity. The vast space of chemical and genetic perturbations makes it impractical to explore all possibilities using conventional methods. Here we propose MorphDiff, a transcriptome-guided...

Topics

• Transcriptome
• Humans
• Drug Discovery
• Gene Expression Profiling
• Models, Biological
• Cell Shape