Diffusion pseudotime robustly reconstructs lineage branching

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Item Type:	Article
Title:	Diffusion pseudotime robustly reconstructs lineage branching
Creators Name:	Haghverdi, L., Büttner, M., Wolf, F.A., Buettner, F. and Theis, F.J.
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.
Keywords:	Algorithms, Cell Differentiation, Cell Lineage, Cluster Analysis, Computer-Assisted Numerical Analysis, Computer Simulation, Diffusion, Embryonic Stem Cells, Genetic Models, High-Throughput Nucleotide Sequencing, Single-Cell Analysis, Statistical Models, Animals, Mice
Source:	Nature Methods
ISSN:	1548-7091
Publisher:	Nature Publishing Group
Volume:	13
Number:	10
Page Range:	845-848
Date:	October 2016
Official Publication:	https://doi.org/10.1038/nmeth.3971
PubMed:	View item in PubMed

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