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SPOTlight: seeded NMF regression to deconvolute spatial transcriptomics spots with single-cell transcriptomes

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Deep Visual Proteomics defines single-cell identity and heterogeneity

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Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment

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Benchmarking spatial and single-cell transcriptomics integration methods for transcript distribution prediction and cell type deconvolution

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Single-nucleus and spatial transcriptome profiling of pancreatic cancer identifies multicellular dynamics associated with neoadjuvant treatment

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Spatial transcriptomics inferred from pathology whole-slide images links tumor heterogeneity to survival in breast and lung cancer

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Spatial Transcriptomics Unveils Regional Heterogeneity and Subclonal Dynamics in the Lung Adenocarcinoma Microenvironment

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