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

Fig 2

Visualization of low-dimensional representations for single cells learned by Vicus and global Laplacian.

Four columns represent the embedding results for Buettner data, Kolodziejczyk data, Pollen data, and Usoskin data respectively. In each dataset, cells are color-coded as their ground-truth labels. Larger separations between different clusters usually indicate better performances in low-dimensional embeddings.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1005621.g002