书目名称Indigenous Technology Knowledge Systems影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0463668<br><br> <br><br>书目名称Indigenous Technology Knowledge Systems读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0463668<br><br> <br><br>
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Michael Gaotlhobogweble to account for the effect of drug interactions and the dynamics of therapy. The aim of this chapter is to demonstrate the use of ordinary differential equation-based mechanistic models to describe the dynamic interactions between the molecular signaling of breast cancer cells and two key clinica
Marc J. de Vriesble to account for the effect of drug interactions and the dynamics of therapy. The aim of this chapter is to demonstrate the use of ordinary differential equation-based mechanistic models to describe the dynamic interactions between the molecular signaling of breast cancer cells and two key clinica
Sefiso B. Khumalo,Tome’ A. Mapotse regulatory and protein-protein interaction (PPI) links connecting signaling proteins or transcription factors or miRNAs to metabolic enzymes and their metabolites using network analysis and mathematical modeling. These cross-pathway links were shown to play important roles in metabolic reprogrammin
Richie Moalosi,Yaone Rapitsenyane,Odirileng Marope,Oanthata Sealetsa
osable into just two types of network building-blocks—opposer modules and balancer modules. Here we present an overview of the design principles that characterize all RPA-capable network topologies through a detailed examination of a collection of simple examples. We also introduce a diagrammatic me
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