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

<div>Development of a TGF- <i>β</i> signaling score-derived risk score (lasso-cox). (a) TGF-<i>β</i> signal related prognostic genes were presented by dendrogram. (b) LASSO coefficients of 10 prognostic TGF-<i>β</i> genes. (c) Cross-validation for turning parameter selection via minimum criteria in the LASSO regression model. (d) Kaplan—Meier analysis of OS for TGF-<i>β</i> risk score. (e) Heat map displayed the expression of 5 prognostic genes in HNSC and normal samples. (f) ROC curves of the TGF-<i>β</i> risk score in predicting OS.</div>

Journal of Oncology

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Figure 6: Integrated Machine Learning and Single-Sample Gene Set Enrichment Analysis Identifies a TGF-Beta Signaling Pathway Derived Score in Headneck Squamous Cell Carcinoma 

Figure 6 | Integrated Machine Learning and Single-Sample Gene Set Enrichment Analysis Identifies a TGF-Beta Signaling Pathway Derived Score in Headneck Squamous Cell Carcinoma 