Author

C. Maley

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 2 Evolutionary Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:spatial domain detection· 2 Research Focus:cancer & tumor microenvironment· 1 Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

A. Aktipis· 2 shared J. R. Marks· 2 shared R. B. West· 2 shared A. Baranski· 1 shared A. Boddy· 1 shared A. C. Kagel· 1 shared A. Fortunato· 1 shared A. Hall· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 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

2 shared papersCancer Biology

A. Aktipis

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Cancer Prevalence Across Vertebrates

Z. T. Compton, W. Mellon, V. Harris, S. Rupp, D. Mallo, S. Kapsetaki, M. Wilmot, R. Kennington, K. Noble, C. Baciu, L. Ramirez, A. Peraza, B. Martins, S. Sudhakar, S. Aksoy, , A. Boddy

The paper analyzes cancer prevalence across 292 vertebrate species and finds that neoplasia prevalence increases with adult weight and mutation rate but decreases with gestation time.

bioRxiv · Feb 15, 2023Cancer Biology

Sponges are highly resistant to radiation exposure and cancer

A. Fortunato, J. Taylor, J. Scirone, A. Aktipis, C. Maley

This study exposes sponges to high radiation doses and finds they resist cancer, with overexpressed DNA repair genes and no cancer induction.

bioRxiv · Mar 17, 2021 · PreprintEvolutionary Biology

Transition to invasive breast cancer is associated with progressive changes in the structure and composition of tumor stroma

T. Risom, D. R. Glass, C. C. Liu, B. Rivero-Gutierrez, A. Baranski, E. F. McCaffrey, N. F. Greenwald, A. C. Kagel, S. H. Strand, S. Varma, A. Kong, L. Keren, S. Srivastava, C. Zhu, Z. Khair, , M. Angelo

The paper analyzes tumor microenvironment changes from normal to invasive breast cancer using imaging and machine learning, finding coordinated shifts in stromal cell location and function.

bioRxiv · Jan 5, 2021Cancer Biology

Unmasking the tissue microecology of ductal carcinoma in situ with deep learning

P. L. Narayanan, S. E. A. Raza, A. Hall, J. R. Marks, L. King, R. B. West, L. Hernandez, M. Dowsett, B. Gusterson, C. Maley, S. E. Hwang, Y. Yuan

This paper develops a deep learning pipeline to detect and segment DCIS ducts, revealing that pure DCIS has more TILs but less co-localization with ducts compared to adjacent DCIS.

bioRxiv · Oct 28, 2019Pathology