Diffusion pseudotime robustly reconstructs lineage branching
Diffusion pseudotime robustly reconstructs lineage branching
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DOI：
10.1101/041384
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发表时间：
2016-02
期刊：
影响因子：
48
通讯作者：
L. Haghverdi;M. Büttner;F. A. Wolf;F. Buettner;Fabian J Theis
中科院分区：
文献类型：
--
作者：
L. Haghverdi;M. Büttner;F. A. Wolf;F. Buettner;Fabian J Theis
分化细胞的时间顺序本质上编码在它们的单细胞表达谱中。我们描述了一种根据扩散伪时间(DPT)稳健估计这一阶数的有效方法，扩散伪时间使用类似扩散的随机游走来测量细胞之间的转变。我们的DPT软件实现使重建细胞的发育进程成为可能，并识别瞬时或亚稳态、分支决策和分化终点。
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.