论文标题
主调节器作为基因表达状态的顺序参数
Master regulators as order parameters of gene expression states
论文作者
论文摘要
细胞类型特异性基因表达模式表示为Hopfield神经网络模型的记忆状态。结果表明，该模型的顺序参数可以解释为主转录调节剂的浓度，这些浓度与大量下游调节基因形成并发的正反馈回路。然后，阶参数自由能定义了表观遗传景观，其中局部最小值对应于稳定的细胞状态。该模型应用于造血的背景下的基因表达数据。
Cell type-specific gene expression patterns are represented as memory states of a Hopfield neural network model. It is shown that order parameters of this model can be interpreted as concentrations of master transcription regulators that form concurrent positive feedback loops with a large number of downstream regulated genes. The order parameter free energy then defines an epigenetic landscape in which local minima correspond to stable cell states. The model is applied to gene expression data in the context of hematopoiesis.
