Author

E. P. Resnick

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

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Pathology· 1

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. L. Kiemen· 1 shared B. Starich· 1 shared C. Booth· 1 shared C. Joshu· 1 shared D. Wirtz· 1 shared G. Cheng· 1 shared I. B. Sander· 1 shared J. Kumer· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperPathology

A. L. Kiemen

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1 paper

Recent·Most cited

qMAP Enabled Microanatomical Mapping of Human Skin Aging

K. S. Han, I. B. Sander, J. Kumer, E. P. Resnick, C. Booth, Y. Im, G. Cheng, B. Starich, A. L. Kiemen, J. M. Phillip, S. Reddy, C. Joshu, J. Sunshine, J. Walston, D. Wirtz, P.-H. Wu

This study introduces qMAP, a deep learning-based workflow for microanatomical mapping of human skin, identifying 10 core processes strongly associated with aging and achieving age prediction accuracy comparable to epigenetic clocks.

bioRxiv · Apr 3, 2024 · PreprintPathology