Titlebook: Computational Methods in Systems Biology; 10th International C David Gilbert,Monika Heiner Conference proceedings 2012 Springer-Verlag Berl

Adams

書(shū)目名稱Computational Methods in Systems Biology影響因子(影響力)




書(shū)目名稱Computational Methods in Systems Biology影響因子(影響力)學(xué)科排名




書(shū)目名稱Computational Methods in Systems Biology網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Computational Methods in Systems Biology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Computational Methods in Systems Biology被引頻次




書(shū)目名稱Computational Methods in Systems Biology被引頻次學(xué)科排名




書(shū)目名稱Computational Methods in Systems Biology年度引用




書(shū)目名稱Computational Methods in Systems Biology年度引用學(xué)科排名




書(shū)目名稱Computational Methods in Systems Biology讀者反饋




書(shū)目名稱Computational Methods in Systems Biology讀者反饋學(xué)科排名

Ordnance

Watemelon

Doing Research with Undergraduatesn be quantified using non-invasive imaging methods, histology is still the modality that provides the best combination of resolution and identification of cellular/sub-cellular substrate identities. The main limitation of histology is that it does not provide inherently consistent three-dimensional

Forage飼料

MIRE

https://doi.org/10.1007/978-3-031-06645-0sses, namely Discrete Event Stochastic Processes (DESPs). Here we demonstrate the potential of HASL based verification in the context of genetic circuits. To this aim we consider the analysis of a model of gene expression with delayed stochastic dynamics, a class of systems whose dynamics includes b

fibroblast

Aaron M. Ellison,Manisha V. Patelctable. Deterministic methods, while computationally more efficient, may fail to contribute reliable approximations for those models. In this paper, we suggest a reduction for models of cell-to-cell communication, based on symmetries of the underlying reaction network. To carry out a stochastic anal

fibroblast

Aaron M. Ellison,Manisha V. Patels to understand the underlying mechanism of interaction. In this study we explore the disjoint and overlapping community structure of an integrated network for a major fungal pathogen of many cereal crops, .. The network was generated by combining sequence, protein interaction and co-expression data

貝雷帽

conservative

https://doi.org/10.1007/978-3-031-06641-2 of the growth rate of the cells during the exponential phase. This model is a piecewise non-linear system with two variables (the concentrations of two gene products) and an input (an inducer). We study the qualitative dynamics of the model and the bifurcation diagram with respect to the input. Mor

河潭

Aaron M. Ellison,Manisha V. Patelh the optimal genetic manipulations, in terms of knockout, which also guarantee the growth of the organism. We introduce a multi-objective optimisation algorithm, called Genetic Design through Multi-Objective (GDMO), and test it in several organisms to maximise the production of key intermediate met