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  1. 22 cze 2011 · In this paper we provide a review of selected mathematical ideas that can help us better understand the boundary between living and non-living systems. We focus on group theory and abstract algebra applied to molecular systems biology. Throughout this paper we briefly describe possible open problems.

  2. Tutorial Content. The tutorial will begin with a discussion of the connections between control theory and Metabolic Control Analysis (MCA). This section will serve as an introduction to sensitivity analysis and some of the basic tools of control theory.

  3. 1 paź 2002 · In general, each individual experiment should use control groups of animals that are contrasted directly to the experimental groups of animals. Multiple types of controls include positive, negative, sham, vehicle, and comparative. Positive Controls. In positive control groups, changes are expected.

  4. 1 sty 2003 · Using techniques from control and dynamical systems theory, we demonstrate that integral control is structurally inherent in the Barkai-Leibler model and identify and characterize the key ...

  5. 1 lip 2016 · Abstract. The past several years have witnessed an increased presence of control theoretic concepts in synthetic biology. This review presents an organized summary of how these control design concepts have been applied to tackle a variety of problems faced when building synthetic biomolecular circuits in living cells.

  6. 30 sty 2019 · The tutorials form a series addressing biological systems that are subject to an increasing number of control inputs: control through a single input such as an injected current ; a dual control system such as parallel control of synaptic gain and intrinsic excitability in a nerve cell ; and the control of waves in excitable media subject to ...

  7. 7 wrz 2024 · A control group in a scientific experiment is a group separated from the rest of the experiment, where the independent variable being tested cannot influence the results. This isolates the independent variable's effects on the experiment and can help rule out alternative explanations of the experimental results.

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