Logical versus kinetic modeling of biological networks: applications in cancer research

LaurenceCalzone123; EmmanuelBarillot123; AndreiZinovyev123

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Logical versus kinetic modeling of biological networks: applications in cancer research

机译：生物网络的逻辑模型与动力学模型：在癌症研究中的应用

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Highlights?Mathematical models are built to understand the complexity of cancer progression.

机译：要点：建立数学模型是为了了解癌症进展的复杂性。

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《Current Opinion in Chemical Engineering》 |2018年第4期|共10页
作者
LaurenceCalzone123; EmmanuelBarillot123; AndreiZinovyev123;
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中图分类化学工业;
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1. Designing Logical Rules to Model the Response of Biomolecular Networks with Complex Interactions: An Application to Cancer Modeling [J] . Guziolowski Carito, Blachon Sylvain, Baumuratova Tatiana, Computational Biology and Bioinformatics, IEEE/ACM Transactions on . 2011,第5期

机译：设计逻辑规则以建模具有复杂相互作用的生物分子网络的响应：在癌症建模中的应用
2. Conceptual and computational framework for logical modelling of biological networks deregulated in diseases [J] . Arnau Montagud, Pauline Traynard, Loredana Martignetti, Briefings in bioinformatics . 2019,第4期

机译：生物网络逻辑模型疾病逻辑建模的概念和计算框架
3. Application of formal methods to biological regulatory networks: extending Thomas' asynchronous logical approach with temporal logic [J] . Bernot G, Comet JP, Richard A, Journal of Theoretical Biology . 2004,第3期

机译：形式方法在生物管理网络中的应用：用时间逻辑扩展托马斯的异步逻辑方法
4. ModRev - Model Revision Tool for Boolean Logical Models of Biological Regulatory Networks [C] . Filipe Gouveia, Ines Lynce, Pedro T. Monteiro International conference on computational methods in systems biology . 2020

机译：MODREV - BIOLEAN逻辑模型的模型修订工具
5. Analysis and logical modeling of biological signaling transduction networks. [D] . Sun, Zhongyao. 2015

机译：生物信号转导网络的分析和逻辑建模。
6. BioLQM: A Java Toolkit for the Manipulation and Conversion of Logical Qualitative Models of Biological Networks [O] . Aurélien Naldi -1

机译：BioLQM：一个用于处理和转换生物网络的逻辑定性模型的Java工具包
7. Logical Modelling of Regulatory Networks, Methods and Applications [O] . Chaouiya, Claudine, Remy, Elisabeth 2013

机译：监管网络，方法和应用的逻辑建模

Logical versus kinetic modeling of biological networks: applications in cancer research

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