CellNet is presented, which enables panoramic modelling of single-cell transcriptomes at scale by integrating DNA-derived gene identities and measured RNA expression into a shared image representation and paves the way for AI-enabled cell-biology discovery at the whole-transcriptome scale.
Xiao-Qing Lian, Pei Liu, Jia-Hui Tan et al.· 0 citations
DiffPro, a novel framework that integrates a Latent Diffusion Model (LDM) as a structural prior, confirms that the diffusion prior successfully regularizes the latent space, mitigating task representation collapse and enabling robust, high-precision predictions for combination therapy design.
Shu-Ting Jin, Xu Guo, An-Qi Huang et al.· Proceedings of the 32nd ACM...· 0 citations
MultiMol is a multimodal framework that integrates SMILES sequences, molecular images, molecular graphs, and 3D conformations through tailored pre-training tasks and a scalable fusion mechanism, and consistently outperforms existing methods in cyclic peptide permeability prediction.
Haowen Chen, Xiuxiu Chao, Weihao Ou et al.· IEEE journal of biomedical a...· 0 citations
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