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Yuning You

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Open access Oct 2026

How Much Can AI Virtual Cells Gain from Unified Perturbational Modeling?

This work introduces three unification modules into a variational autoencoder (VAE)-based AIVC predictor to address these sources of heterogeneity: gene-channel alignment, shared perturbation encoding, and joint embedding of gene expression and identity.

Zong-Ting Wei, Yue-Dian Ye, Shu-Guang Cui et al. · 0 citations
#graph neural networks Open access Aug 2026

A Generative Virtual Tissue Model Enables Computational Design of Therapeutic Perturbation Strategies

Broadly, CIFM shows how generative artificial intelligence methods can be applied to model emergent behavior in highly interacting biological systems, yielding new approaches to fundamental understanding of tissue behavior as well as large-scale therapeutic design.

Yunrui Lu, Willis Zhang, Yu-Jen Chen et al. · 0 citations

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