Haghverdi L, Buettner M, Wolf FA, Buettner F, Theis FJ (2016)
Publication Type: Journal article
Publication year: 2016
Book Volume: 13
Pages Range: 845-848
Journal Issue: 10
DOI: 10.1038/nmeth.3971
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.
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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