Author

S. Dhebat

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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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

A. Maitra· 1 shared B. M. Stephens· 1 shared E. Ruppin· 1 shared J. J. Lee· 1 shared J. T. Henry· 1 shared K. I. Rajapakshe· 1 shared K. Wang· 1 shared M. W. Hurd· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

A. Maitra

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1 paper

Recent·Most cited

Transcriptomic Profiling of Plasma Extracellular Vesicles Enables Reliable Annotation of the Cancer-specific Transcriptome and Molecular Subtype

V. Bahrambeigi, J. J. Lee, V. Branchi, J. T. Henry, K. I. Rajapakshe, B. M. Stephens, S. Dhebat, M. W. Hurd, R. Sun, P. Yang, W. Wang, S. E. Kopetz, A. Maitra, P. A. Guerrero, Z. Xu, , E. Ruppin

This study uses deep learning on plasma extracellular vesicle RNA to predict cancer subtypes, monitor treatment effects, and identify gene fusions and neoepitopes without tissue sampling.

bioRxiv · Oct 27, 2022Cancer Biology