FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers

<div>Esophageal cancer datasets (GSE1420, GSE23400) are used for experiments. GSE1420 is used as a training set, whereas GSE23400 is used as the test set. The ROC curve displays the generalization results.</div>

BioMed Research International

fig4

Figure 4

Figure 4: FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers 

Figure 4 | FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers 