Author

Ashley Cimino‐Mathews

Johns Hopkins UniversityORCID 0000-0002-0638-7969Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:microscopy & imaging analysis· 1

Frequent Co-Authors

Aleksander S. PopeliD· 1 shared Alexei HernandeziD· 1 shared Andrew J. EwaldiD· 1 shared Atul M. DeshpandeiD· 1 shared Cesar Augusto Santa-MariaiD· 1 shared Eloïse M. GrassetiD· 1 shared Erin M. CoyneiD· 1 shared Haoyang MiiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aleksander S. PopelORCID

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2 papers

Recent·Most cited

Cancer BiologyOncogenePeer-reviewedAug 20, 2024

Mapping the breast tumor microenvironment: proximity analysis reveals spatial relationships between macrophage subtypes and metastasis-initiating cancer cells

Eloïse M. Grasset, Atul M. Deshpande, Jae Woo Lee…·Won Jin Ho

The paper uses spatial analysis to show metastasis-initiating cancer cells in breast tumors are closely associated with specific macrophage subtypes, suggesting these interactions promote metastasis.

17 citations

humanimaging

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BioinformaticsbioRxivPreprintDec 18, 2023

Spatial and Compositional Biomarkers in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer

Haoyang Mi, Ravi Varadhan, Ashley Cimino‐Mathews…·Aleksander S. Popel

The paper identifies spatial and compositional biomarkers in the tumor microenvironment of triple-negative breast cancer that predict clinical outcomes using imaging mass cytometry and deep learning.

10 citations

humanspatial transcriptomics

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