Advanced methods and algorithms for biological networks analysis

Advanced methods and algorithms for biological networks analysis

Modeling and analysis of complex biological networks presents a number of mathematical challenges. For the models to be useful from a biological standpoint, they must be systematically compared with data. Robustness is a key to biological understanding and proper feedback to guide experiments, inclu...

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Bibliografiska uppgifter
Huvudupphovsmän:	El-Samad, H, Prajna, S, Papachristodoulou, A, Doyle, J, Khammash, M
Materialtyp:	Journal article
Språk:	English
Publicerad:	2006

Liknande verk

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Stochastic reachability analysis in complex biological networks
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av: Mélykúti, B, et al.
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Algorithmic construction of lyapunov functions for power system stability analysis
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Algorithmic Construction of Lyapunov Functions for Power System Stability Analysis.
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Stability analysis of power systems using network decomposition and local gain analysis
av: Anghel, M, et al.
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On validation and invalidation of biological models
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A structured model reduction method for large scale networks.
av: Chu, B, et al.
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Structured sum of squares for networked systems analysis.
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A loop shaping approach for designing biological circuits.
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Global Stability Analysis of a TCP/AQM protocol for arbitrary networks with delay
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Likelihood-free nested sampling for parameter inference of biochemical reaction networks.
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A Network Decomposition Approach for Efficient Sum of Squares Programming Based Analysis
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