Author

E. P. Resnick

University of Maryland, BaltimoreORCID 0000-0002-3287-9932Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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

Ashley L. KiemeniD· 1 shared Bartholomew StarichiD· 1 shared C. BoothiD· 1 shared Corinne E. JoshuiD· 1 shared Denis WirtziD· 1 shared Guoqing ChengiD· 1 shared Inbal B. SanderiD· 1 shared Jacqueline 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

Ashley L. KiemenORCID

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1 paper

Recent·Most cited

qMAP Enabled Microanatomical Mapping of Human Skin Aging

Kyu Sang Han, Inbal B. Sander, Jacqueline Kumer, E. P. Resnick, C. Booth, Guoqing Cheng, Yebin Im, Bartholomew Starich, Ashley L. Kiemen, Jude M. Phillip, Sashank Reddy, Corinne E. Joshu, Joel Chaim Sunshine, Jeremy D Walston, Denis Wirtz, Pei-Hsun 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