Author

Thanos P. Mourikis

ORCID 0000-0002-8026-8837Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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

Christopher YauiD· 1 shared Damjan TemelkovskiiD· 1 shared Elizabeth FoxalliD· 1 shared Francesca D. CiccarelliiD· 1 shared Jesper LagergreniD· 1 shared Joel NulseniD· 1 shared Juliane PerneriD· 1 shared Lorena BenedettiiD· 1 shared

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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

Christopher YauORCID

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1 paper

Recent·Most cited

Cancer BiologybioRxivPreprintOct 17, 2018

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

Thanos P. Mourikis, Lorena Benedetti, Elizabeth Foxall…·on behalf of the Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium

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

DOI 10.1101/321612

humanwhole-exome sequencing

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