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Sanati N, Iancu OD, Wu G, et al. Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma. Front Genet. 2018;9:183doi: 10.3389/fgene.2018.00183.
Sanati, N., Iancu, O. D., Wu, G., Jacobs, J. E., & McWeeney, S. K. (2018). Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma. Frontiers in genetics, 9183. https://doi.org/10.3389/fgene.2018.00183
Sanati, Nasim, et al. "Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma." Frontiers in genetics vol. 9 (2018): 183. doi: https://doi.org/10.3389/fgene.2018.00183
Sanati N, Iancu OD, Wu G, Jacobs JE, McWeeney SK. Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma. Front Genet. 2018 May 29;9:183. doi: 10.3389/fgene.2018.00183. eCollection 2018. PMID: 29910823; PMCID: PMC5992410.
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Front Genet. 2018 May 29;9:183. doi: 10.3389/fgene.2018.00183. eCollection 2018.

Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma.

Frontiers in genetics

Nasim Sanati, Ovidiu D Iancu, Guanming Wu, James E Jacobs, Shannon K McWeeney

Affiliations

  1. Division of Bioinformatics and Computational Biology, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR, United States.
  2. Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, United States.
  3. Division of Pediatric Hematology/Oncology, Department of Pediatrics, Oregon Health and Science University, Portland, OR, United States.
  4. OHSU Knight Cancer Institute, Portland, OR, United States.

PMID: 29910823 PMCID: PMC5992410 DOI: 10.3389/fgene.2018.00183

Abstract

The heterogeneity in head and neck squamous cell carcinoma (HNSCC) has made reliable stratification extremely challenging. Behavioral risk factors such as smoking and alcohol consumption contribute to this heterogeneity. To help elucidate potential mechanisms of progression in HNSCC, we focused on elucidating patterns of gene interactions associated with tumor progression. We performed

Keywords: HNSCC; RNA-Seq; TCGA; co-expression; differentially wired; predictors; progression; weighted network analysis

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