Diffusion pseudotime robustly reconstructs lineage branching

Haghverdi L, Buettner M, Wolf FA, Buettner F, Theis FJ (2016)


Publication Type: Journal article

Publication year: 2016

Journal

Book Volume: 13

Pages Range: 845-848

Journal Issue: 10

DOI: 10.1038/nmeth.3971

Abstract

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.

Involved external institutions

How to cite

APA:

Haghverdi, L., Buettner, M., Wolf, F.A., Buettner, F., & Theis, F.J. (2016). Diffusion pseudotime robustly reconstructs lineage branching. Nature methods, 13(10), 845-848. https://doi.org/10.1038/nmeth.3971

MLA:

Haghverdi, Laleh, et al. "Diffusion pseudotime robustly reconstructs lineage branching." Nature methods 13.10 (2016): 845-848.

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