Article

A Global Genome-wide Scan with Optimal Cutoff Mining for Emerging Biomarkers in Head and Neck Squamous Cell Carcinoma

2020-10-15

Abstract excerpt

<title>Abstract</title> <p>BackgroundThe survival analysis of the Cancer Genome Atlas (TCGA) dataset is a well-known method to discover the gene expression-based prognostic biomarkers of head and neck squamous cell carcinoma (HNSCC). In order to utilize a continuous gene expression for survival analysis, it is necessary to determine a cutoff point by the dichotomization of the patients. There is some optimization...

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Literature Corpus work: 0f681e6d-26e1-514c-a98a-6f3f57a526ca
DOI: 10.21203/rs.3.rs-90021/v1

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