744-PerturbDiff: for Single-Cell Perturbation Modeling
This paper introduces PerturbDiff, a novel computational framework designed to simulate how cells respond to biological disturbances like drugs or genetic modifications. Traditional models often struggle because single-cell sequencing is destructive, making it impossible to observe the same cell both before and after a treatment. PerturbDiff overcomes this by shifting the focus from individual cells to entire cell populations, treating these distributions as random variables in a high-dimensional mathematical space. By using a diffusion-based generative process and a distribution-matching…
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