Author

K. E. Blise

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

J. Goecks· 2 shared L. M. Coussens· 2 shared S. Sivagnanam· 2 shared A. Dias Costa· 1 shared B. M. Wolpin· 1 shared B. Tate· 1 shared C. B. Betts· 1 shared E. E. Furth· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCancer Biology

J. Goecks

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Machine learning links T cell function and spatial localization to neoadjuvant immunotherapy and clinical outcome in pancreatic cancer

K. E. Blise, S. Sivagnanam, C. B. Betts, K. Betre, N. Kirchberger, B. Tate, E. E. Furth, A. Dias Costa, J. A. Nowak, B. M. Wolpin, R. H. Vonderheide, J. Goecks, L. M. Coussens, K. Byrne

This study uses machine learning to analyze spatial proteomic data from pancreatic cancer patients, linking T cell function and localization to neoadjuvant CD40 therapy and clinical outcomes.

bioRxiv · Oct 20, 2023Cancer Biology

Single-Cell Spatial Proteomics Analyses of Head and Neck Squamous Cell Carcinoma Reveal Tumor Heterogeneity and Immune Architectures Associated with Clinical Outcome

K. E. Blise, S. Sivagnanam, G. L. Banik, L. M. Coussens, J. Goecks

The paper uses single-cell spatial proteomics to analyze HNSCC tumors, showing that tumor-immune compartmentalization is linked to better clinical outcomes.

bioRxiv · Mar 10, 2021Cancer Biology