Author

T. Mourikis

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Cancer Biology· 1

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

C. Yau· 1 shared D. Temelkovski· 1 shared E. Foxall· 1 shared F. D. Ciccarelli· 1 shared J. Lagergren· 1 shared J. Nulsen· 1 shared J. Perner· 1 shared L. Benedetti· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

C. Yau

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1 paper

Recent·Most cited

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