Identification of a gene expression signature predicting survival in oral cavity squamous cell carcinoma using Monte Carlo cross validation

Objectives: This study aims to identify a robust signature that performs well in predicting overall survival across tumor phenotypes and treatment strata, and validates the application of Monte Carlo cross validation (MCCV) as a means of identifying molecular signatures when utilizing small and high...

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Bibliographic Details
Main Authors:	Anton-Culver, H. (Author), Norden-Krichmar, T. (Author), Schomberg, J. (Author), Ziogas, A. (Author)
Format:	Article
Language:	English
Published:	Elsevier Ltd 2018
Subjects:	adult antineoplastic agent Article cancer chemotherapy cancer risk cancer staging cancer survival Cancer survival Carcinoma, Squamous Cell Chemotherapy controlled study demography disease association female Female gene expression gene expression profiling Gene Expression Profiling gene identification Gene signature genetics Head and neck cancer human Humans Kaplan Meier method Kaplan-Meier Estimate ligand gated ion channel major clinical study male Male middle aged Middle Aged Molecular signature Monte Carlo cross validation Monte Carlo method Monte Carlo Method Mouth Neoplasms mouth squamous cell carcinoma mouth tumor Oral cancer Oral cancer pathways overall survival pathology priority journal reproducibility Reproducibility of Results RNA sequence squamous cell carcinoma survival prediction treatment response Treatment response Wnt signaling
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Identification of a gene expression signature predicting survival in oral cavity squamous cell carcinoma using Monte Carlo cross validation

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