Identification and transition analysis of stable states (attractors) of time-course gene expression of developmental and differentiation system

我们建立了一种新的方法来理解发育和分化过程，作为时程基因表达的稳定状态(吸引子)的转变。通过对iPS细胞分化过程中基因表达数据的主成分分析，我们定义了一个相空间。然后，我们基于基因表达数据计算每个细胞状态的出现频率，并计算每个细胞状态的出现概率作为表示每个细胞状态的稳定性的表达势场。

We established a novel method to understand developmental and differentiation process as transition of stable states (attractors) of time-course gene expression. We defined a phase space by principal component analysis on gene expression data during iPS cells differentiations. We then calculated an appearance frequency of each cellular state based on gene expression data, and calculated an occurrence probability of each cellular state as expression potential field showing stability of each cellular state.