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Author

E. Patrick

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Open access Sep 2026

Proteomic signature predicts the metastatic risk of primary cutaneous squamous cell carcinomas.

Cutaneous squamous cell carcinoma (cSCC) is a heterogeneous skin malignancy worldwide. While most tumours are effectively treated by surgical excision, between 5% and 37% of biologically aggressive cases metastasise to regional lymph nodes or distant organs. Identifying tumours at risk of metastasis remains challenging...

Ali Azimi, E. Patrick, R. Teh et al. · 0 citations
Open access Aug 2026

PACE, Proximity-Associated Changes in Expression

Cellular transcriptional states are shaped by local tissue context, yet quantifying how cellular gene expression varies with proximity to different cell types remains challenging. Cell-resolved spatial transcriptomics data are typically sparse and susceptible to contamination from neighbouring cells through diffusion,...

Elijah Willie, Shreya Rao, J. Ormerod et al. · 0 citations
Open access Jul 2026

Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics

Phenoverse is introduced, an interpretable deep learning framework that learns sample-level disease state representations through cell type-aware residual encoding, prototype learning, and Perceiver-based aggregation that demonstrates that trajectory-derived genes reveal cross-cohort molecular programs and show consist...

Manoj M Wagle, Yongheng Wang, Soham Samanta et al. · 0 citations

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