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Fig. 4 | BioData Mining

Fig. 4

From: Integrating transcriptomics and proteomics to analyze the immune microenvironment of cytomegalovirus associated ulcerative colitis and identify relevant biomarkers

Fig. 4

Screen candidate diagnostic biomarkers by machine learning algorithms. (A) Random Forest analysis in MEgrey and MEblue (P) groups. (B) SVM-rfe analysis in MEgrey and MEblue (P) groups. (C) Lasso analysis in MEgrey and MEblue (P) groups. (D) Random Forest analysis in MEgreen, MEblue, and MEyellow (P) groups. (E) SVM-rfe analysis in MEgreen, MEblue, and MEyellow (P) groups. (F) Lasso analysis in MEgreen, MEblue, and MEyellow (P) groups. (G) Random Forest analysis in MEgreen, MEred, MEturquoise, and MEturquoise(P) groups. (H) SVM-rfe analysis in MEgreen, MEred, MEturquoise, and MEturquoise(P) groups. (I) Lasso analysis in MEgreen, MEred, MEturquoise, and MEturquoise(P) groups. (J) Random Forest analysis in MEgrey and MEblue (P) groups. (K) SVM-rfe analysis in MEgrey and MEblue (P) groups. (L) Lasso analysis in MEgrey and MEblue (P) groups. (M) Random Forest analysis in all modules. (N) SVM-rfe analysis in all modules. (O) Lasso analysis in all modules

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BioData Mining

ISSN: 1756-0381