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Article

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

2020-09-28

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>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 so...

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Literature Corpus work
519234e2-8931-535e-aa53-dff313ef55fc
DOI
10.21203/rs.3.rs-80673/v1
Open publication

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A Global Genome-Wide Scan with Optimal Cutoff Mining for Emerging Biomarkers in Head and Neck Squamous Cell CarcinomaDOI 10.21203/rs.3.rs-80673/v1
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