Titlebook: Information Processing and Biological Systems; Samuli Niiranen,Andre Ribeiro Book 2011 Springer-Verlag Berlin Heidelberg 2011 Biological N

OASIS

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verdict

指令

Swarm-Based Simulations for Immunobiology,he involved simulated ‘agents’ and their environment. We demonstrate simulation results for clonal selection in combination with primary and secondary collective responses after viral infection. We also model, simulate, and visualize key response patterns encountered during bacterial infection. As a

情爱

Biological Limits of Hand Preference Learning Hiding Behind the Genes, inform the choice of the next hand reach; the model shows the structure of the behavior and the biological limits of hand preference learning hiding behind the genes. We use three different mouse strains as prototypes to illustrate the constructive path that predicts the adaptive behavioral phenoty

Incorporate

Boolean Threshold Networks: Virtues and Limitations for Biological Modeling,d different thresholds. Special attention is paid to the way in which the threshold value affects the dynamical regime in which the network operates and the structure of the attractor landscape. We find that only for a very restricted set of parameters, these networks show dynamical properties consi

GROSS

Structure-Dynamics Relationships in Biological Networks, and thus hold only on this single aspect. Thus, it is difficult to establish more general principles. To overcome these limitations we propose to use information theory to establish a unified framework through which one can begin to examine both structure and dynamics of complex systems in a genera

Rheumatologist

MIRE

Large-Scale Statistical Inference of Gene Regulatory Networks: Local Network-Based Measures, inference of regulatory networks from expression data. However, due to the fact that currently there is a vast interest in network-based approaches in systems biology the presented measures may be also of interest for the analysis of a different type of large-scale genomics data.

MIRE

Biological Information and Natural Selection,daptive landscapes. The question of whether we should expect evolution to slow down or speed up as the things that are evolving get more complicated is raised and dealt with. Finally, an epistemological moral is drawn, and briefly applied to the case of cancer.