Author

T W Chen

National Yang Ming Chiao Tung UniversityORCID 0000-0002-9036-8540Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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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:spatial transcriptomics· 1

Frequent Co-Authors

Amos StemmeriD· 1 shared Benjamin H. JenkinsiD· 1 shared Chi‐Ping DayiD· 1 shared Christopher Jon HanleyiD· 1 shared Danh-Tai HoangiD· 1 shared Eldad David ShulmaniD· 1 shared Emma M. CampagnoloiD· 1 shared Eytan RuppiniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Amos StemmerORCID

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1 paper

Recent·Most cited

Histopathology-inferred spatial transcriptomics characterizes the tumor microenvironment in 1,500 head and neck tumors and predicts clinical outcomes

Sumona Biswas, Sumeet Patiyal, T W Chen, Amos Stemmer, Saugato Rahman Dhruba, Sumit Mukherjee, Thomas Cantore, Eldad David Shulman, Emma M. Campagnolo, Benjamin H. Jenkins, Shyh‐Kuan Tai, Pen Yuan Chu, Ying‐Ju Kuo, Yi‐Chen Yeh, Chi‐Ping Day, , Eytan Ruppin

This paper develops HEiST, a deep learning method to infer spatial transcriptomes from H&E slides, identifies two prognostic Spatiotypes in HNSC, and shows they predict treatment response better than existing biomarkers.

bioRxiv · May 19, 2026 · PreprintCancer Biology