Author

Vikram Kaushik

Georgia Institute of Technology

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Bioinformatics· 1

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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

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Ahmet F. CoskuniD· 1 shared Kalpana ManthiramiD· 1 shared Mayar AllamiD· 1 shared Pamela Anne MuddiD· 1 shared Qin Xu· 1 shared Steven L. GoudyiD· 1 shared Thomas HuiD· 1 shared

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2024-2024 · peak 1/yr

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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