Author

Pamela Anne Mudd

Children's NationalORCID 0000-0002-4304-7787Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ahmet F. CoskuniD· 1 shared Kalpana ManthiramiD· 1 shared Mayar AllamiD· 1 shared Qin Xu· 1 shared Steven L. GoudyiD· 1 shared Thomas HuiD· 1 shared Vikram Kaushik· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Ahmet F. CoskunORCID

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1 paper

Recent·Most cited

Spatial Morphoproteomic Features Predict Uniqueness of Immune Microarchitectures and Responses in Lymphoid Follicles

Thomas Hu, Mayar Allam, Vikram Kaushik, Steven L. Goudy, Qin Xu, Pamela Anne Mudd, Kalpana Manthiram, Ahmet F. Coskun

The paper introduces SNOWFLAKE, a graph neural network framework that predicts disease status from multiplex imaging data in human B-cell follicles, showing improved performance over other methods.

bioRxiv · Jan 5, 2024 · PreprintBioinformatics