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Yongzhuang Liu

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#protein folding Open access Sep 2026

MultiSpaceNet: graph-based joint representation learning for paired spatial transcriptome–proteome data

MultiSpaceNet is presented, a graph-based framework for joint representation learning from paired spatial transcriptomic and proteomic data that outperforms nine published state-of-the-art methods in spatial domain identification and preserves biological structure across replicate sections better than all compared alte...

Zheng-Qiang Zhang, Bing-Hong Chen, Jing-Yi Bai et al. · 0 citations
Open access Aug 2026

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

ScPILOT learns a generative latent representation through discriminator‐assisted training and separates perturbation inference into cell‐level response estimation from observed contexts and query‐specific response transfer using latent optimal transport, a query‐conditioned framework for transferring responses to previ...

Jia-Liang Wang, Zi-Qi Liu, Zheng-Qiang Zhang et al. · 0 citations

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