1) temporal Boolean networks
时序布尔网络
2) Boolean network
布尔网络
1.
Bayesian network and Boolean network are powerful tools to genetic networks research.
布尔网络模型和贝叶斯网络模型都是研究基因调控网络的有力工具。
2.
The purpose of cell library binding is to implement the logic functions of a group of Boolean networks by using some library cells.
它的目标是 :通过特定的方法 ,把一组布尔网络表述的逻辑功能用具体的库单元实现。
3) boolean networks
布尔网络
1.
The Model of Boolean Networks and Applications in Complex System;
复杂系统布尔网络模型及应用
2.
In this paper making use of Boolean logic algebra and logic circuit networks find dynamics transition of genetic regulatory from genetic regulatory boolean networks.
利用熵互信息理论对基因表达进行处理,构建基因调控布尔网络。
3.
Random Boolean Networks (RBNs) have been playing important role in modeling, analysis and control for complex dynamic networks in real world.
随机布尔网络是对复杂的动态网络系统进行建模、分析和控制的重要工具,而小世界特性是实际网络系统中普遍存在的拓扑连接形式。
4) elemental processor
时序网络
5) Boolean networks
布尔网络模型
1.
This paper reviews the origin and recent development of GRN,explicates the preconditions and rationales for construction of GRN,and analyzes several classic GRN models: Boolean networks,linear models,.
本文介绍了基因调控网络的起源与近年来的发展情况,详细说明了基因调控网络构建的前提与基本原理,并分析几种经典调控网络模型:布尔网络模型、线性及非线性模型和贝叶斯网络模型,阐述各种模型构建的基本原理和算法,结合基因芯片的数据特点,探讨各种模型的优缺点及其适用情况,对各种网络模型进行分析与总结。
2.
This paper reviews analysis and reconstruction of GRN, analyzes several models: Boolean networks, linear models, weighted matrix models, Bayesian networks, expounds the applications of each model and compares their metrics and disadvantages.
本文介绍了基因调控网络的分析与重构,详细分析了布尔网络模型、线性组合模型及加权矩阵模型和贝叶斯网络模型几种经典调控网络模型,并阐述了各个模型在实际中的应用,最后对这几种模型的优缺点作以比较。
6) probabilistic Boolean network
概率布尔型网络
1.
Based on the Probabilistic Boolean Network(PBN)proposed by Iyla Shumlevich et al,a directional weight graph model,which can be utilized to calculate the mutual influence between any two genes,is presented.
基于Iyla Shumlevich等提出的概率布尔型网络(PBN)模型,计算网络中任意两基因之间量化了的相互影响,给出相应的有向带权图模型。
补充资料：时序女神
时序女神(horae)：宙斯和忒弥斯诸女，
欧诺弥亚(eunomia）秩序女神
狄刻(dike)公正女神
厄瑞涅(eirene）和平女神.
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条