Author

Wenkang Zhan

Temple University

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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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

Chen SongiD· 1 shared Supratim DasiD· 1 shared Timothy Richard RebbeckiD· 1 shared Xinghua Mindy ShiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Chen SongORCID

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1 paper

Recent·Most cited

E2EGraph: An End-to-end Graph Learning Model for Interpretable Prediction of Pathlogical Stages in Prostate Cancer

Wenkang Zhan, Chen Song, Supratim Das, Timothy Richard Rebbeck, Xinghua Mindy Shi

E2EGraph predicts prostate cancer pathological stages using gene expression data and graph neural networks, achieving state-of-the-art performance with interpretable marker gene identification.

bioRxiv · Mar 9, 2023 · PreprintBioinformatics