کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4503100 | 1320843 | 2007 | 29 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Geometric robustness theory and biological networks
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
مدلسازی و شبیه سازی
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
We provide a geometric framework for investigating the robustness of information flows over biological networks. We use information measures to quantify the impact of knockout perturbations on simple networks. Robustness has two components, a measure of the causal contribution of a node or nodes, and a measure of the change or exclusion dependence, of the network following node removal. Causality is measured as statistical contribution of a node to network function, whereas exclusion dependence measures a distance between unperturbed network and reconfigured network function.We explore the role that redundancy plays in increasing robustness, and how redundacy can be exploited through error-correcting codes implemented by networks. We provide examples of the robustness measure when applied to familiar boolean functions such as the AND, OR and XOR functions. We discuss the relationship between robustness measures and related measures of complexity and how robustness always implies a minimal level of complexity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Theory in Biosciences - Volume 125, Issue 2, 20 April 2007, Pages 93-121
Journal: Theory in Biosciences - Volume 125, Issue 2, 20 April 2007, Pages 93-121
نویسندگان
Nihat Ay, David C. Krakauer,