Spatial multiomics to inform immunocytokine engineering: knowledge base, gaps, and QC solutions. [PDF]
Patel P, Batty LD, Bleck M, Nathan S.
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Spatially resolved T cell receptor diversity mapping uncovers variability of the cancer immune microenvironment. [PDF]
Magoulopoulou A +12 more
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ST-SCSR: identifying spatial domains in spatial transcriptomics data via structure correlation and self-representation. [PDF]
Zhang M, Zhang W, Ma X.
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Spatial2GWAS: a database for linking spatial transcriptomic regions with GWAS traits. [PDF]
Hu X, Wang A, Yu H, Kim P, Zhou X.
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Progenitor T cells drive chronic pulmonary type 2 inflammation. [PDF]
Kratchmarov R +19 more
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Inferring spatial single-cell-level interactions through interpreting cell state and niche correlations learned by self-supervised graph transformer. [PDF]
Xiao X, Zhang L, Zhao H, Wang Z.
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Spatial transcriptomic map of the mouse urinary bladder. [PDF]
Matković N +10 more
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hoodscanR: profiling single-cell neighborhoods in spatial transcriptomics data. [PDF]
Liu N +14 more
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CellNiche represents cellular microenvironments in atlas-scale spatial omics data with contrastive learning. [PDF]
Liang Z, Zhong B, Jiao M, Wang Y, Liu S.
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Spartan: activation-aware framework for spatial domain and variable gene discovery
Faiz MFI +6 more
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