Author

Treyden Stransfield

Indiana University Indianapolis

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:graph neural network· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Dong He XuiD· 1 shared Hao Cheng· 1 shared Hari Naga Sai Kiran Suryadevara· 1 shared Juexin WangiD· 1 shared Mauminah Raina· 1 shared Michael T. EadoniD· 1 shared Qin MaiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Dong He XuORCID

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1 paper

Recent·Most cited

Exploring the Mosaic-like Tissue Architecture of Kidney Diseases Using Relation Equivariant Graph Neural Networks on Spatially Resolved Transcriptomics

Mauminah Raina, Hao Cheng, Hari Naga Sai Kiran Suryadevara, Treyden Stransfield, Dong He Xu, Qin Ma, Michael T. Eadon, Juexin Wang

This paper introduces REGNN, a graph deep learning framework for analyzing spatially resolved transcriptomics data, showing improved performance in identifying mosaic-like tissue architectures in kidney diseases.

bioRxiv · Nov 9, 2023 · PreprintBioinformatics