Author

W. L. Ruzzo

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Cancer Biology· 1

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

S. Ma· 1 shared Y. Wang· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperCancer Biology

S. Ma

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1 paper

Recent·Most cited

Spatial modeling of prostate cancer metabolic gene expression reveals extensive heterogeneity and selective vulnerabilities

Y. Wang, S. Ma, W. L. Ruzzo

The paper uses spatial transcriptomics to model metabolic gene expression in prostate cancer, identifying spatially distinct metabolic vulnerabilities and potential drug targets.

bioRxiv · Oct 19, 2019Cancer Biology