Titlebook: Mathematical Modeling of Biological Systems, Volume I; Cellular Biophysics, Andreas Deutsch,Lutz Brusch,Hanspeter Herzel Book 2007 Birkh?us

Coarse

書目名稱Mathematical Modeling of Biological Systems, Volume I影響因子(影響力)




書目名稱Mathematical Modeling of Biological Systems, Volume I影響因子(影響力)學科排名




書目名稱Mathematical Modeling of Biological Systems, Volume I網(wǎng)絡(luò)公開度




書目名稱Mathematical Modeling of Biological Systems, Volume I網(wǎng)絡(luò)公開度學科排名




書目名稱Mathematical Modeling of Biological Systems, Volume I被引頻次




書目名稱Mathematical Modeling of Biological Systems, Volume I被引頻次學科排名




書目名稱Mathematical Modeling of Biological Systems, Volume I年度引用




書目名稱Mathematical Modeling of Biological Systems, Volume I年度引用學科排名




書目名稱Mathematical Modeling of Biological Systems, Volume I讀者反饋




書目名稱Mathematical Modeling of Biological Systems, Volume I讀者反饋學科排名

HUMP

Morsel

Phase Separation in Eukaryotic Directional Sensingts to specific receptors leads to a wide range of biochemical responses that become highly localized as cells polarize and migrate by chemotaxis. This ability is central in the development of complex organisms, and is the result of a billion years of evolution. Cells exposed to shallow gradients in

褻瀆

mastoid-bone

PSA-velocity

Nonexponential Time Distributions in Biocatalytic Systems: Mass Service Replacing Mass Actionolecular state has an exponentially distributed lifetime. We regard this assumption as unduly restrictive and advocate a more general, service theory based approach (termed mass service kinetics or, briefly, service kinetics). In service-theoretic terms biocatalysts are servers and their ligands are

直言不諱

問到了燒瓶

Piecewise-Linear Models of Genetic Regulatory Networks: Analysis of the Carbon Starvation Response iill little understood. Using a qualitative method based on piecewise-linear differential equations, which is able to overcome the current lack of quantitative data on kinetic parameters and molecular concentrations, we model the carbon starvation response network and simulate the response of . cells

kindred

Predicting Gene Expression from Combined Expression and Promoter Profile Similarity with Applicationimultaneously, this technique holds enormous potential to extend our understanding of various biological processes. However, the large amount of data poses a challenge when interpreting the results. Moreover, microarray data often contain frequent missing values, which may drastically affect the per

FOLD