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Figure 2 | BMC Bioinformatics

Figure 2

From: Incorporating pathway information into boosting estimation of high-dimensional risk prediction models

Figure 2

Prediction error curves for the DLBCL data. Bootstrap .632+ prediction error curve estimates for boosting without pathway information (dashed curves) and PathBoost (solid curves), applied to DLBCL data, without (thick curves) and with clinical covariates (thin curves). The Kaplan-Meier benchmark (grey curve) and a purely clinical model (dotted curve) are given as a reference.

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BMC Bioinformatics

ISSN: 1471-2105

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