Identifying perturbations that boost T-cell infiltration into tumours via counterfactual learning of their spatial proteomic profiles
Z. J. Wang, A. S. Farooq, Y.-J. Chen, A. Bhargava, A. M. Xu, M. Thomson
The paper develops a deep-learning model to identify minimal tumour perturbations that enhance T-cell infiltration using spatial proteomic data from cancer samples.
bioRxiv · Oct 12, 2023Cancer Biology