Integrated Machine Learning and Single-Sample Gene Set Enrichment Analysis Identifies a TGF-Beta Signaling Pathway Derived Score in Headneck Squamous Cell Carcinoma

<div>External validation of the TGF-<i>β</i> risk score. (a)-(b) The scatter plot revealed survival rates in the high- and low- TGF-<i>β</i> risk score groups in GEO dataset. (c) Kaplan–Meier analysis of OS for TGF-<i>β</i> risk score. (d) ROC curves of the TGF-<i>β</i> risk score in predicting OS. (e) The Kappa coefficient revealed the consistency of the ssGSEA algorism and lasso-cox algorithm.</div>

Journal of Oncology

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Figure 7

Figure 7: Integrated Machine Learning and Single-Sample Gene Set Enrichment Analysis Identifies a TGF-Beta Signaling Pathway Derived Score in Headneck Squamous Cell Carcinoma 

Figure 7 | Integrated Machine Learning and Single-Sample Gene Set Enrichment Analysis Identifies a TGF-Beta Signaling Pathway Derived Score in Headneck Squamous Cell Carcinoma 