Selected Publication


PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

PAGA based embedding of the developmental trajectories in the Zebrafish embryo, colored by timepoint. © Original data from Wagner et al., Science (2018).

Experimental molecular assays with single-cell resolution generate big and complex data. Here we present the new algorithm PAGA which creates data-driven, easily interpretable maps that reveal cellular processes and fates in complex contexts. The paper has been published in Genome Biology.

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Click here for the Helmholtz press release

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