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Mapping Tumor-Microenvironment dependencies with TMEformer: A spatial foundation framework enabling in silico perturbation

2026-05-20

Abstract excerpt

Despite the fundamental role of spatial context in driving tumor progression, most current computational models for virtual perturbation have largely overlooked its importance. Here, we introduce TMEformer, a tumor microenvironment-aware deep learning framework that leverages high-resolution spatial transcriptomics to jointly model intrinsic tumor cell programs and local microenvironmental signals by explicitly in...

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Literature Corpus work
fa8df742-5c3e-5fc5-981f-87e3d4840b9e
DOI
10.64898/2026.05.17.725770
Open publication

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Mapping Tumor-Microenvironment dependencies with TMEformer: A spatial foundation framework enabling in silico perturbationDOI 10.64898/2026.05.17.725770
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