A 15-gene signature for prediction of colon cancer recurrence and prognosis based on SVM

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• 作者：Guangru Xu¹ ; Minghui Zhang¹ ; Hongxing Zhu ; Jinhua Xu ; ^{wuwuuwgdg@aliyun.com}
• 关键词：TCGA ; The Cancer Genome Atlas ; LIMMA ; Linear Models for Microarray data ; DEGs ; differentially expressed genes ; SVM ; support vector machine ; d-CEA ; draining venous blood ; GEO ; Gene Expression Omnibus ; RMA ; Robust Multichip Average ; RFE ; recursive feature elimination ; ROC ; receiver operation characteristic ; 2D ; two-dimensional ; HES5 ; Hairy and enhancer of split 5 ; RHEB ; Ras homolog enriched in brain ; mTORC1 ; mammalian target of rapamycin complex 1 ; SRY ; sex-determining region Y
• 刊名：Gene
• 出版年：2017
• 出版时间：10 March 2017
• 年：2017
• 卷：604
• 期：Complete
• 页码：33-40
• 全文大小：1735 K
• 卷排序：604

文摘

The 15-genes set signature may be used to classify colon cancer patients. The findings of our study may be more credible to be applied in clinic. Some genes in this signature may represent new therapeutic targets.