编码
支化(高分子化学)
谱系(遗传)
扩散
统计物理学
随机游动
亚稳态
人工智能
计算机科学
基因
生物
计算生物学
进化生物学
数学
物理
遗传学
统计
化学
热力学
量子力学
有机化学
作者
Laleh Haghverdi,Maren Büttner,Florian Wolf,Florian Buettner,Fabian J. Theis
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2016-02-29
被引量:55
摘要
Single-cell gene expression profiles of differentiating cells encode their intrinsic latent temporal order. We describe an efficient way to robustly estimate this order according to a diffusion pseudotime , which measures transitions on all length scales between cells using diffusion-like random walks. This allows us to identify cells that undergo branching decisions or are in metastable states, and thereby genes differentially regulated at these states.
科研通智能强力驱动
Strongly Powered by AbleSci AI