Author

A. Karz

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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Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

E. Hernando· 2 shared A. A. S. Shadaloey· 1 shared A. Lopez-Cerdan· 1 shared A. Rubanov· 1 shared A. Rubens· 1 shared A. Tsirigos· 1 shared B. Gomez-Cabanes· 1 shared C. Loomis· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

E. Hernando

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Author profile →

2 papers

Recent·Most cited

Unveiling common transcriptomic features between melanoma brain metastases and neurodegenerative diseases

I. Soler-Saez, A. Karz, M. R. Hidalgo, B. Gomez-Cabanes, A. Lopez-Cerdan, J. F. Catala-Senent, M. de la Iglesia-Vaya, E. Hernando, F. Garcia-Garcia

The paper identifies shared transcriptomic features between melanoma brain metastases and neurodegenerative diseases, highlighting key genes and providing an open-source tool for analysis.

bioRxiv · Jan 16, 2024Cancer Biology

MetFinder: a neural network-based tool for automated quantitation of metastatic burden in histological sections from animal models

A. Karz, N. Coudray, E. Bayraktar, K. Galbraith, G. Jour, A. A. S. Shadaloey, N. Eskow, A. Rubanov, M. Navarro, R. Moubarak, G. Baptiste, G. Levinson, V. Mezzano, M. Alu, C. Loomis, , E. Hernando

MetFinder uses a deep neural network to automate metastasis burden quantification in histological sections from mouse models, improving throughput and resolution compared to current methods.

bioRxiv · Sep 7, 2023 · PreprintCancer Biology