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

2020-12-14

Abstract excerpt

<title>Abstract</title> <p>Background: The 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 optimizati...

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Literature Corpus work
537b756f-9142-5541-ab53-ee44f949f0ab
DOI
10.21203/rs.3.rs-122012/v1
Open publication

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