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Titlebook: Systems Biology in Cancer Research and Drug Discovery; Asfar S. Azmi Book 2012 Springer Science+Business Media Dordrecht 2012 Anti-Cancer

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樓主: Inoculare
31#
發(fā)表于 2025-3-27 00:20:08 | 只看該作者
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發(fā)表于 2025-3-27 02:10:42 | 只看該作者
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發(fā)表于 2025-3-27 07:29:37 | 只看該作者
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發(fā)表于 2025-3-27 15:15:57 | 只看該作者
36#
發(fā)表于 2025-3-27 20:52:34 | 只看該作者
Xia Li,Juan Xu,Yongsheng Lich are a complement to Fluid Mechanics textbooks. The book is the product of material covered in many classes over a period of four decades at several universities. It consists of 18 sets of problems where students are introduced to various topics of the Fluid Mechanics. Each set involves 30 problem
37#
發(fā)表于 2025-3-27 22:30:36 | 只看該作者
System Biology Approach to Study Cancer Related Pathwayst of the p53 pathway is analysed as an example, where its network motifs are identified by model selection methods based on the observation of experimental data. With the constructed mechanistic model, biological pathways can be simulated through .experiments to facilitate cancer research.
38#
發(fā)表于 2025-3-28 02:25:38 | 只看該作者
Understanding the Dynamics of Tumor Angiogenesis: A Systems Biology Approach, in this chapter, we will focus on models that deal individually with each one of these mechanisms relevant to angiogenesis, as well as with platforms that integrate various models into multiscale models of the whole process.
39#
發(fā)表于 2025-3-28 08:35:36 | 只看該作者
Applications of Network Bioinformatics to Cancer Angiogenesis angiogenic switch networks, global angiogenesis protein-protein interaction networks, crosstalk among angiogenic pathways, and drug networks. This chapter is for readers who are interested in cancer systems biology and bioinformatics, especially in angiogenesis.
40#
發(fā)表于 2025-3-28 12:50:33 | 只看該作者
Novel and Alternative Bioinformatics Approaches to Understand miRNA-mRNA Interactome in Cancer Reseational algorithms that predict miRNA targets. These target prediction algorithms can potentially provide valuable data-based information for further experimental validation of meaningful miRNA-mRNA interactomes responsible for serious diseases including cancer.
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