Article

Identifying perturbations that boost T-cell infiltration into tumours via counterfactual learning of their spatial proteomic profiles

2023-10-16

Abstract excerpt

Cancer progression can be slowed down or halted via the activation of either endogenous or engineered T cells and their infiltration of the tumour microenvironment. Here we describe a deep-learning model that uses large-scale spatial proteomic profiles of tumours to generate minimal tumour perturbations that boost T-cell infiltration. The model integrates a counterfactual optimization strategy for the generation o...

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Literature Corpus work: 5073c1e0-f55f-51b8-9c8b-439e72681a27
DOI: 10.1101/2023.10.12.562107

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