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C3-Diff: Super-resolving Spatial Transcriptomics via Cross-modal Cross-content Contrastive Diffusion Modelling
Xiaofei Wang, Stephen Price, Chao Li
The rapid advancement of spatial transcriptomics (ST), i.e., spatial gene expressions, has made it possible to measure gene expression within original tissue, enabling us to discov…
Disentangled Multi-modal Learning of Histology and Transcriptomics for Cancer Characterization
Yupei Zhang, Xiaofei Wang, Anran Liu +2
Histopathology remains the gold standard for cancer diagnosis and prognosis. With the advent of transcriptome profiling, multi-modal learning combining transcriptomics with histolo…
Score-based Diffusion Model for Unpaired Virtual Histology Staining
Anran Liu, Xiaofei Wang, Jing Cai +1
Hematoxylin and eosin (H&E) staining visualizes histology but lacks specificity for diagnostic markers. Immunohistochemistry (IHC) staining provides protein-targeted staining but i…
Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling
NingFeng Que, Xiaofei Wang, Jingjing Chen +2
Spatial transcriptomics (ST) is a promising technique that characterizes the spatial gene profiling patterns within the tissue context. Comprehensive ST analysis depends on consecu…
Joint Modelling Histology and Molecular Markers for Cancer Classification
Xiaofei Wang, Hanyu Liu, Yupei Zhang +6
Cancers are characterized by remarkable heterogeneity and diverse prognosis. Accurate cancer classification is essential for patient stratification and clinical decision-making. Al…