Author

Ashley Cimino‐Mathews

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

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Aleksander S. PopelORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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, Yeonju Cho, Sarah M. Shin, Erin M. Coyne, Alexei Hernandez, Xuan Yuan, Zhehao Zhang, Ashley Cimino‐Mathews, Andrew J. Ewald, 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.

Oncogene · Aug 20, 2024Peer-reviewedCancer Biology

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

Haoyang Mi, Ravi Varadhan, Ashley Cimino‐Mathews, Leisha A. Emens, Cesar Augusto Santa-Maria, 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.

bioRxiv · Dec 18, 2023 · PreprintBioinformatics