Selected Publication

09.04.2019

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.

Click here for the original publication

Click here for the Helmholtz press release

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