Author

S. Thavaraj

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· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

A. Rullan· 1 shared E. Sahai· 1 shared G. Weitsman· 1 shared H. Joyce· 1 shared J. Deng· 1 shared J. N. E. Chan· 1 shared K. Ng· 1 shared L. Dolcetti· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperCancer Biology

A. Rullan

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2 papers

Recent·Most cited

Interplay of adherens junctions and matrix proteolysis determines the invasive pattern and growth of squamous cell carcinoma

T. Kato, R. P. Jenkins, S. Derzsi, M. Tozluoglu, A. Rullan, S. Hooper, R. A. G. Chaleil, X. Fu, H. Joyce, S. Thavaraj, P. A. Bates, E. Sahai

This study identifies factors determining collective invasion patterns in squamous cell carcinoma, showing that high cell-cell adhesion and proteolysis promote aggressive growth and invasion.

bioRxiv · Nov 24, 2021Cancer Biology

RUNIMC: An R-based package for imaging mass cytometry data analysis and pipeline validation

L. Dolcetti, P. R. Barber, G. Weitsman, S. Thavaraj, K. Ng, J. N. E. Chan, P. Patten, R. Mustapha, J. Deng, T. Ng

The paper introduces RUNIMC, an R package for imaging mass cytometry data analysis, comparing an unbiased approach with a biased method using synthetic and clinical datasets.

bioRxiv · Sep 14, 2021 · PreprintCancer Biology