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Haghverdi, L. ; Büttner, M. ; Wolf, F.A. ; Buettner, F. ; Theis, F.J.

Diffusion pseudotime robustly reconstructs lineage branching.

Nat. Methods 13, 845-848 (2016)
Postprint DOI PMC
Open Access Green
The temporal order of differentiating cells is intrinsically encoded in their single-cell expression profiles. We describe an efficient way to robustly estimate this order according to diffusion pseudotime (DPT), which measures transitions between cells using diffusion-like random walks. Our DPT software implementations make it possible to reconstruct the developmental progression of cells and identify transient or metastable states, branching decisions and differentiation endpoints.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Rna-sequencing Data; Single-cell Data; Expression; Heterogeneity; Trajectories; Progression; Commitment; Embryo; Maps; Stem
ISSN (print) / ISBN 1548-7091
e-ISSN 1548-7105
Zeitschrift Nature Methods
Quellenangaben Band: 13, Heft: 10, Seiten: 845-848 Artikelnummer: , Supplement: ,
Verlag Nature Publishing Group
Verlagsort New York, NY
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)