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Figure 8 | BMC Medical Genomics

Figure 8

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 8

Leave-one-out validation test of the 24 genes which best predict survival class. Using the 20 early death and 20 long term survival cases indicated by the scatter plots in Figure 7, one case was left out and the remaining 39 cases were used to produce a logistic regression model which was then used to predict the left-out case; the process was continued sequentially for all 40 cases. Columns labeled “ed” are early death cases and columns labeled “al” are long term survival cases. Cases predicted correctly are shown in grey, incorrectly in black. The genes have been clustered based on similar class predictions.

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BMC Medical Genomics

ISSN: 1755-8794

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