https://www.selleckchem.com/pr....oducts/sch-527123.ht
This study explored whether laryngeal carcinoma could be divided into different subtypes based on molecular differences using a molecular subtype-prediction model. We extracted data from the Cancer Genome Atlas and Gene Expression Omnibus databases and then performed unsupervised cluster analysis to identify discrete molecular subtypes of laryngeal carcinoma. Significance analysis of microarrays was performed to detect differentially expressed genes for each subtype, and gene set enrichment analysis and the GenCliP3 software were use
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