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Data publication: Integrated radiogenomics analyses allow for subtype classification and improved outcome prognosis of patients with locally advanced HNSCC

Rabasco Meneghetti, A.; Zwanenburg, A.; Linge, A.; Lohaus, F.; Grosser, M.; Baretton, G.; Kalinauskaite, G.; Tinhofer, I.; Guberina, N.; Stuschke, M.; Balermpas, P.; von der Grün, J.; Ganswindt, U.; Belka, C.; Peeken, J. C.; Combs, S. E.; Böke, S.; Zips, D.; Troost, E. G. C.; Krause, M.; Baumann, M.; Löck, S.

Abstract

RDS data of models developed and reported for the article entitled "Integrated radiogenomics analyses allow for subtype classification and improved outcome prognosis of patients with locally advanced HNSCC". Software package version is also available in repository

Keywords: HNSCC; Radiomics; Radiogenomics; Transcriptomics; Machine Learning; Prognostic markers

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  • OncoRay

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Permalink: https://www.hzdr.de/publications/Publ-35182