Figure 2

An illustration of a cluster containing four genomes. Performing function prediction over gene class "A" consists of two steps: i) perform Leave-One-Out cross validation over the first three genomes and hence adapt to the optimal kernel parameters, ii) find A in the bottom genome within the confidence interval. Since the distances between A and B genes are the most conserved, class B will act as the reference genes for computing relative positions for class A genes for use as one of the training features.