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A generative framework for predicting cellular morphological and transcriptomic perturbation responses
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AI
DOI：10.1016/j.crmeth.2026.101459.png)
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Abstract
En 中文
• MultiVCDiff predicts joint transcriptomic and morphological perturbation responses • MultiVCDiff outperforms leading baselines under zero-shot evaluations • MultiVCDiff enables multimodal virtual screening without post-perturbation readouts
Keywords:
virtual cell modeling
multimodal generative model
diffusion model
perturbation response prediction
virtual screening
Cell Painting
L1000
cellular morphology synthesis
gene expression prediction
in silico phenotypic screening
CP: computational biology
CP: systems biology