Title |
Logical Modeling and Dynamical Analysis of Cellular Networks
|
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Published in |
Frontiers in Genetics, May 2016
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DOI | 10.3389/fgene.2016.00094 |
Pubmed ID | |
Authors |
Wassim Abou-Jaoudé, Pauline Traynard, Pedro T. Monteiro, Julio Saez-Rodriguez, Tomáš Helikar, Denis Thieffry, Claudine Chaouiya |
Abstract |
The logical (or logic) formalism is increasingly used to model regulatory and signaling networks. Complementing these applications, several groups contributed various methods and tools to support the definition and analysis of logical models. After an introduction to the logical modeling framework and to several of its variants, we review here a number of recent methodological advances to ease the analysis of large and intricate networks. In particular, we survey approaches to determine model attractors and their reachability properties, to assess the dynamical impact of variations of external signals, and to consistently reduce large models. To illustrate these developments, we further consider several published logical models for two important biological processes, namely the differentiation of T helper cells and the control of mammalian cell cycle. |
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France | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Portugal | 1 | <1% |
Latvia | 1 | <1% |
Brazil | 1 | <1% |
India | 1 | <1% |
United Kingdom | 1 | <1% |
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Researcher | 40 | 19% |
Student > Master | 25 | 12% |
Student > Bachelor | 20 | 10% |
Professor | 9 | 4% |
Other | 27 | 13% |
Unknown | 31 | 15% |
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Agricultural and Biological Sciences | 48 | 23% |
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Engineering | 9 | 4% |
Medicine and Dentistry | 9 | 4% |
Other | 25 | 12% |
Unknown | 47 | 23% |