Author

G. J. Tsongalis

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 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Rajagopal· 1 shared B. C. Christensen· 1 shared B. Leatham· 1 shared C. Bobak· 1 shared D. C. Green· 1 shared D. Yurk· 1 shared E. M. Veziroglu· 1 shared H. K. Subramanian· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCancer Biology

A. Rajagopal

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2 papers

Recent·Most cited

A rapid, multiplex digital PCR assay for EGFR, KRAS, BRAF, ERBB2 variants and ALK, RET, ROS1, NTRK1 gene fusions in non-small cell lung cancer

B. Leatham, K. McNall, H. K. Subramanian, L. Jacky, J. G. Alvarado, D. Yurk, M. Wang, D. C. Green, G. J. Tsongalis, A. Rajagopal, J. Schwartz

The paper describes a multiplex digital PCR assay for detecting genetic variants and fusions in NSCLC, showing high accuracy and utility in challenging samples.

bioRxiv · Mar 9, 2023 · PreprintCancer Biology

Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology Markers

J. Levy, C. Bobak, M. Nasir-Moin, E. M. Veziroglu, S. M. Palisoul, R. E. Barney, L. A. Salas, B. C. Christensen, G. J. Tsongalis, L. J. Vaickus

This study uses mixed-effects machine learning to predict colon cancer metastasis by analyzing spatially localized immuno-oncology markers in tumor tissue.

bioRxiv · Aug 1, 2021Pathology