Author

D. Temelkovski

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 Assay:whole-exome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

F. D. Ciccarelli· 2 shared L. Benedetti· 2 shared A. Acha-Sagredo· 1 shared B. Larijani· 1 shared C. Swanton· 1 shared C. Yau· 1 shared E. Fontana· 1 shared E. Foxall· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

F. D. Ciccarelli

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2 papers

Recent·Most cited

Immunogenomic profile of colorectal cancer response to immune checkpoint blockade

M. Bortolomeazzi, M. R. Keddar, L. Montorsi, A. Acha-Sagredo, L. Benedetti, D. Temelkovski, S. Choi, N. Petrov, K. Todd, P. Wai, J. Kohl, T. Denner, E. Nye, R. Goldstone, S. Ward, , F. D. Ciccarelli

This study identifies immunogenomic features predicting response to immune checkpoint blockade in colorectal cancer, showing that high clonality and immune escape mechanisms are more important than mutational burden.

bioRxiv · Dec 15, 2020 · PreprintCancer Biology

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

T. Mourikis, L. Benedetti, E. Foxall, D. Temelkovski, J. Nulsen, J. Perner, M. Cereda, J. Lagergren, M. Howell, C. Yau, R. Fitzgerald, P. Scaffidi, F. D. Ciccarelli

This study identifies patient-specific cancer genes in esophageal adenocarcinoma using machine learning, revealing recurrent process perturbations that suggest therapeutic targets.

bioRxiv · Oct 17, 2018 · PreprintCancer Biology