標(biāo)題: Titlebook: Computational Modeling of Signaling Networks; Xuedong Liu,Meredith D. Betterton Book 2012 Springer Science+Business Media, LLC 2012 BioNet [打印本頁] 作者: 民俗學(xué) 時間: 2025-3-21 19:42
書目名稱Computational Modeling of Signaling Networks影響因子(影響力)
書目名稱Computational Modeling of Signaling Networks影響因子(影響力)學(xué)科排名
書目名稱Computational Modeling of Signaling Networks網(wǎng)絡(luò)公開度
書目名稱Computational Modeling of Signaling Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Modeling of Signaling Networks被引頻次
書目名稱Computational Modeling of Signaling Networks被引頻次學(xué)科排名
書目名稱Computational Modeling of Signaling Networks年度引用
書目名稱Computational Modeling of Signaling Networks年度引用學(xué)科排名
書目名稱Computational Modeling of Signaling Networks讀者反饋
書目名稱Computational Modeling of Signaling Networks讀者反饋學(xué)科排名
作者: manifestation 時間: 2025-3-22 00:00
Some Mathematical Aspects of Buckling,y depends in a highly nonlinear fashion on its parameters and, as a consequence, parameter estimation procedures get easily trapped in local optima. Therefore any useful parameter estimation procedure has to be robust and efficient with respect to both challenges. In the final step, it is important 作者: 離開真充足 時間: 2025-3-22 04:23
https://doi.org/10.1007/978-94-009-3373-6 The model was used not only to investigate different possible designs of the silencing mechanism exerted by miR-34a on Sirt1 but also to simulate the dynamics of the system under conditions of (pathological) deregulation of its compounds.作者: 情節(jié)劇 時間: 2025-3-22 05:00
G. Thomas,H. J. Prijs,J. J. Trapman possible. These languages are also intuitive to the biologist and accessible to the novice modeler. In this chapter, we provide a self-contained tutorial on modeling signal transduction networks using the BNG Language and related software tools. We review the basic syntax of the language and show h作者: 放逐 時間: 2025-3-22 10:54
Analyzing and Constraining Signaling Networks: Parameter Estimation for the User,y depends in a highly nonlinear fashion on its parameters and, as a consequence, parameter estimation procedures get easily trapped in local optima. Therefore any useful parameter estimation procedure has to be robust and efficient with respect to both challenges. In the final step, it is important 作者: 完成 時間: 2025-3-22 14:18 作者: 完成 時間: 2025-3-22 17:12 作者: 攤位 時間: 2025-3-22 23:57 作者: 征兵 時間: 2025-3-23 05:24
Predictive Models for Cellular Signaling Networks,m attractors of dynamic systems. We then discuss the use of bifurcation diagrams to evaluate the parameter dependency of qualitative network behaviors (i.e., the emergence of oscillations or switches), and we give measures for the sensitivity and robustness of the signaling output.作者: 哺乳動物 時間: 2025-3-23 05:46
A Tutorial on Mathematical Modeling of Biological Signaling Pathways,f the network components and employs mathematical models to gain some insights about the mechanisms and dynamics of biological systems. This chapter introduces how to use the bottom-up approach to establish mathematical models for cell signaling studies.作者: cortex 時間: 2025-3-23 10:18
Modeling Spatiotemporal Dynamics of Bacterial Populations,ferential equations (PDEs) are then given. Spatiotemporal pattern formation is computed by numerically solving the PDE model. Biodiversity of the ecosystem and its impacts by cellular seeding distance and motility are computed according to the cell distribution patterns.作者: CLOUT 時間: 2025-3-23 17:49
Summation Theorems in Structural Stabilitym attractors of dynamic systems. We then discuss the use of bifurcation diagrams to evaluate the parameter dependency of qualitative network behaviors (i.e., the emergence of oscillations or switches), and we give measures for the sensitivity and robustness of the signaling output.作者: 航海太平洋 時間: 2025-3-23 18:53
https://doi.org/10.1007/978-3-7091-5064-1f the network components and employs mathematical models to gain some insights about the mechanisms and dynamics of biological systems. This chapter introduces how to use the bottom-up approach to establish mathematical models for cell signaling studies.作者: 不透明性 時間: 2025-3-23 23:22
Current Chinese Economic Report Seriesferential equations (PDEs) are then given. Spatiotemporal pattern formation is computed by numerically solving the PDE model. Biodiversity of the ecosystem and its impacts by cellular seeding distance and motility are computed according to the cell distribution patterns.作者: Explosive 時間: 2025-3-24 04:59 作者: voluble 時間: 2025-3-24 07:25 作者: Parameter 時間: 2025-3-24 13:42
Current Chinese Economic Report Seriesrete dynamic modeling, and the ways in which it can be applied to analyze the dynamics of signaling networks. This is followed by practical examples of a Boolean dynamic framework applied to the modeling of the abscisic acid signal transduction network in plants as well as the T-cell survival signaling network in humans.作者: 妨礙議事 時間: 2025-3-24 15:14
Summer School on Topological Vector Spacesnstead of or before turning to numerical computation. Analytic progress can be useful both for suggesting more efficient numerical methods and for obviating the computational expense of, for example, exploring parametric dependence.作者: 神圣不可 時間: 2025-3-24 19:14 作者: 入會 時間: 2025-3-25 00:02
Computational Modeling of Signal Transduction Networks: A Pedagogical Exposition,sy-to-use methods of rule-based modeling for stochastic simulations. We finally suggest some methods for comprehensive parameter sensitivity analysis, and discuss the insights that it could yield. Examples, including code to try out, are provided based on a paper that modeled Ras kinetics in thymocytes.作者: ICLE 時間: 2025-3-25 04:36
Discrete Dynamic Modeling of Signal Transduction Networks,rete dynamic modeling, and the ways in which it can be applied to analyze the dynamics of signaling networks. This is followed by practical examples of a Boolean dynamic framework applied to the modeling of the abscisic acid signal transduction network in plants as well as the T-cell survival signaling network in humans.作者: 本土 時間: 2025-3-25 08:14 作者: Adulate 時間: 2025-3-25 12:24 作者: SPER 時間: 2025-3-25 18:45
Summer Mastitis in Irish Dairy Herdsto determine, for experimental data, the plausibility of two network behaviors, bistability and irreversibility. We use the . oocyte maturation network as our example, and we make special use of iterative stability analysis, a graphical tool for determining stability in two dimensions.作者: 不自然 時間: 2025-3-25 23:53 作者: 歡騰 時間: 2025-3-26 03:17
The Epidemiology of Summer Mastitiss, concentrations, and other model parameters from time course data. Both are treated as optimal control problems in which rapid pharmacological perturbation schemes are identified . in order to close an experimental cycle from modeling back to the laboratory bench.作者: 的事物 時間: 2025-3-26 07:34 作者: 袖章 時間: 2025-3-26 12:30 作者: Celiac-Plexus 時間: 2025-3-26 16:30
Design of Experiments to Investigate Dynamic Cell Signaling Models,s, concentrations, and other model parameters from time course data. Both are treated as optimal control problems in which rapid pharmacological perturbation schemes are identified . in order to close an experimental cycle from modeling back to the laboratory bench.作者: Myocarditis 時間: 2025-3-26 20:22 作者: Volatile-Oils 時間: 2025-3-27 00:07 作者: 華而不實 時間: 2025-3-27 02:25 作者: omnibus 時間: 2025-3-27 08:47 作者: HOWL 時間: 2025-3-27 09:34 作者: 的染料 時間: 2025-3-27 16:58 作者: 獸群 時間: 2025-3-27 21:49 作者: ascetic 時間: 2025-3-27 23:23 作者: 使迷醉 時間: 2025-3-28 03:45
U. Vecht,H. J. Wisselink,A. M. Ham-Hoffiesemical reaction networks. Its key functionality is multi-experiment fitting, where several experimental data sets from different laboratory conditions are fitted simultaneously in order to improve the estimation of unknown model parameters, to check the validity of a given model, and to discriminate作者: ESO 時間: 2025-3-28 08:43 作者: 極少 時間: 2025-3-28 11:07 作者: 不可思議 時間: 2025-3-28 15:08 作者: 緩和 時間: 2025-3-28 19:16 作者: PAN 時間: 2025-3-28 23:10
Summer School on Topological Vector Spacesf molecules of the participating species. That is, rather than modeling regulatory networks in terms of the deterministic dynamics of concentrations, we model the dynamics of the probability of a given copy number of the reactants in single cells. Most of the modeling activity of the last decade has作者: 磨碎 時間: 2025-3-29 03:13
https://doi.org/10.1007/978-1-61779-833-7BioNetGen; Cells; RasGTP; Signaling networks; Systems of ODEs; mass-action kinetics; micro RNAs; model form作者: braggadocio 時間: 2025-3-29 07:56 作者: ANT 時間: 2025-3-29 11:40
Xuedong Liu,Meredith D. BettertonDemonstrates how modeling is currently being applied to research in signaling.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the expe作者: CREEK 時間: 2025-3-29 18:30
Methods in Molecular Biologyhttp://image.papertrans.cn/c/image/232828.jpg作者: 嫌惡 時間: 2025-3-29 20:07
Computational Modeling of Signaling Networks978-1-61779-833-7Series ISSN 1064-3745 Series E-ISSN 1940-6029
