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FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis

Abstract Spatial transcriptomics (ST) has emerged as a powerful tool for analyzing cell-cell communication (CCC) across various biological processes, ranging from embryonic development to cancer progression. However, its limited resolution and high data sparsity hinder the detailed characterization...

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Detaylı Bibliyografya
Asıl Yazarlar: Lingyu Li, Tianjie Wang, Zhuo Liang, Huajian Yu, Stephanie Ma, Lequan Yu, Yuanhua Huang
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2026-03-01
Seri Bilgileri:Nature Communications
Online Erişim:https://doi.org/10.1038/s41467-026-70528-7
Etiketler: Etiketle
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