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. 2009 May 27;25(12):i21–i29. doi: 10.1093/bioinformatics/btp226

Fig. 1.

Fig. 1.

Overview of the approach. This figure presents the classification and comparison steps of our analysis pipeline. These steps are repeated using a different reference disease each time. The classifier returns a real value between 0.0 and 1.0 which we call disease-class probability. The histograms represent the distribution of the disease-class probability of the individuals with the reference disease (left) and of the controls (right). In the situation depicted in this figure, there is evidence that query disease C is more similar to the reference disease than the other query diseases.