Author

A. S. Farooq

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Cancer Biology· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Assay:spatial transcriptomics· 1

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A. Bhargava· 1 shared A. M. Xu· 1 shared M. Thomson· 1 shared Y.-J. Chen· 1 shared Z. J. Wang· 1 shared

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2023-2023 · peak 1/yr

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1 shared paperCancer Biology

A. Bhargava

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1 paper

Recent·Most cited

Cancer BiologybioRxivOct 12, 2023

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…·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.

DOI 10.1038/s41551-025-01357-0

humanspatial transcriptomics

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