Titlebook: Cancer Systems Biology, Bioinformatics and Medicine; Research and Clinica Alfredo Cesario,Frederick Marcus Book 2011 The Editor(s) (if appl

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书目名称Cancer Systems Biology, Bioinformatics and Medicine影响因子(影响力)




书目名称Cancer Systems Biology, Bioinformatics and Medicine影响因子(影响力)学科排名




书目名称Cancer Systems Biology, Bioinformatics and Medicine网络公开度




书目名称Cancer Systems Biology, Bioinformatics and Medicine网络公开度学科排名




书目名称Cancer Systems Biology, Bioinformatics and Medicine被引频次




书目名称Cancer Systems Biology, Bioinformatics and Medicine被引频次学科排名




书目名称Cancer Systems Biology, Bioinformatics and Medicine年度引用




书目名称Cancer Systems Biology, Bioinformatics and Medicine年度引用学科排名




书目名称Cancer Systems Biology, Bioinformatics and Medicine读者反馈




书目名称Cancer Systems Biology, Bioinformatics and Medicine读者反馈学科排名

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Cancer: Clinical Background and Key Challengesystems approaches to the pathology and treatment of cancer. In particular, it addresses diagnosis and therapy by interconnecting various aspects of cancer at both the molecular and clinical level, and contrasts the unifying features of malignancies with the daunting diversity of cancer types, stages

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Global Molecular and Cellular Measurement Technologiesencing field where capacity and throughput have increased by several orders of magnitude. This has been a major factor in systems biology research, which thrives on technologies facilitating efficient and relatively economical genome-wide readout on DNA, mRNA, protein, and metabolome level. With dat

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Computational Tools for Systems Biologyiew of the available tools and methods. The reader is familiarised with the development of standards in computational systems biology regarding description and annotation of models, methods, and data standards which enable communication between different groups working in the same field and permit a

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The Hallmarks of Cancer Revisited Through Systems Biology and Network Modellingnvestigations, new systems-based approaches have provided a wide range of improved investigative methods. These approaches integrate various global data types into mathematical and computational models of molecular and cellular pathways and networks that become dysregulated in cancer, since the mode

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Systems Biology Analysis of Cell Death Pathways in Cancer: How Collaborative and Interdisciplinary Rlation in this genetically-regulated process plays an important role in the pathophysiology of different disorders. Excessive cell death is pathogenic when it concerns post-mitotic cells and results in various diseases, such as infarction, stroke or neurodegenerative disorders. Insufficient cell dea