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.
· bioRxiv · 0 citations