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- W2064446502 abstract "Besides the often‐quoted complexity of cellular networks, the prevalence of uncertainties about components, interactions, and their quantitative features provides a largely underestimated hallmark of current systems biology. This uncertainty impedes the development of mechanistic mathematical models to achieve a true systems‐level understanding. However, there is increasing evidence that theoretical approaches from diverse scientific domains can extract relevant biological knowledge efficiently, even from poorly characterized biological systems. As a common denominator, the methods focus on structural, rather than more detailed, kinetic network properties. A deeper understanding, better scaling, and the ability to combine the approaches pose formidable challenges for future theory developments." @default.
- W2064446502 created "2016-06-24" @default.
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- W2064446502 date "2009-10-29" @default.
- W2064446502 modified "2023-10-11" @default.
- W2064446502 title "Systems analysis of cellular networks under uncertainty" @default.
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- W2064446502 doi "https://doi.org/10.1016/j.febslet.2009.10.074" @default.
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