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Diffusion pseudotime robustly reconstructs lineage branching

delete2016-08-29
delete804
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OA
AI
L
Laleh Haghverdi
M
Maren Büttner
F
F. Alexander Wolf
F
Florian Buettner
F
Fabian J. Theis *
DOI:10.1038/nmeth.3971delete
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摘要

摘要

En 中文
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.
Keyword:
RNA-SEQUENCING DATA
SINGLE-CELL DATA
EXPRESSION
HETEROGENEITY
TRAJECTORIES
PROGRESSION
COMMITMENT
EMBRYO
MAPS
STEM
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期刊

Nature Methods 封面图
Nature Methods
IF:
32.1
论文数:
7.2K
被引数:
12.7W

机构

H
Helmholtz Association
学者数:
13.2W
论文数: 10.7W
被引数: 145
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