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Vicus: Exploiting local structures to improve network-based analysis of biological data

Fig 5

The results of feature ranking by Laplacian and Vicus.

Experiments are performed on 6 cancer datasets. On each dataset, we vary the number of selected features (genes) and use k-means to report the clustering accuracy. NMI and ARI are used to measure the goodness of selected features. It is consistently observed across six datasets that Vicus can select better features than Laplacian.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1005621.g005