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Jia-Liang Wang

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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

ABSTRACT Predicting how single cells respond to perturbations is a central problem in computational biology, with potential relevance to emerging artificial intelligence virtual cell (AIVC) research and drug‐discovery efforts. However, substantial variation in perturbation responses across biological contexts and the l...

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

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