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Figure 3 | BMC Medical Genomics

Figure 3

From: Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinoma

Figure 3

A sorted plot of accuracies in predicting early death or long survival. Using a logistic regression model of the stage I and II cases, each of the 8594 genes which varied at least four-fold across the entire GDS2373 data set was evaluated for accuracy in survival prediction. The accuracy is derived from the area under the ROC curve for each gene when comparing the earliest death group of 20 cases and the longest survivor group of 20 cases, which are shown in Figure 2.

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