Fig. 3 | Scientific Reports

Fig. 3

From: Integrative bioinformatics and machine learning identify key crosstalk genes and immune interactions in head and neck cancer and Hodgkin lymphoma

Fig. 3

Identification and selection of hub genes using multiple machine learning approaches and PPI network construction. (a) Intersection of shared genes through six ML algorithms. (b) Visualization of prospective genes based on the PPI network. (c) Top 10 most significant genes identified through RF model. (d) LASSO regression model for gene selection and reduction. (e) SVM-RFE analysis showing the lowest error rate. (f) Venn diagram showing the overlap of selected genes from the three ML models.

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