Skip to main content
Figure 5 | Proteome Science

Figure 5

From: Classification-based comparison of pre-processing methods for interpretation of mass spectrometry generated clinical datasets

Figure 5

Classification accuracy using repeated random resampling as a function of corresponding training set sizes. Average classification accuracy (black line) of ovarian cancer versus control with its 95% confidence interval (red lines) on 1000 test sets as a function of training set size. Dataset used is the CM10 data with Ciphergen pre-processing (setting C) with a DLDA classifier and feature selection.

Back to article page