Description |
1 online resource (xix, 419 pages) : illustrations (some color) |
Series |
Chapman & Hall/CRC mathematical and computational biology series ; 32 |
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Chapman and Hall/CRC mathematical & computational biology series ; 32
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Contents |
A roadmap of cancer systems biology / Edwin Wang -- Network biology : the framework of systems biology / Jing-Dong Han -- Reconstructing gene networks using gene expression profiles / Mario Lauria and Diego di Bernardo -- Understanding cancer progression in protein interaction networks / Jinsheng Sun, Jie Li, and Edwin Wang -- From tumor genome sequencing to cancer signaling maps / Cong Fu and Edwin Wang -- Ubiquitin-mediated regulation of human signaling networks in normal and cancer cells / Cong Fu, Jie Li, and Edwin Wang -- MicroRNA regulation of networks of normal and cancer cells / Pradeep Kumar Shreenivasaiah, Do Han Kim, and Edwin Wang -- Network model of survival signaling in T-cell large granular lymphocyte leukemia / Ranran Zhang, Thomas P. Loughran Jr., and RĂ©ka Albert -- Cancer metabolic networks : metabolic pathways modelling and metabolomics in cancer research / Miroslava Cuperlovic-Culf -- Warburg revisited : modeling energy metabolism for cancer systems biology / Mathieu Cloutier |
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Cancer gene prediction using a network approach / Xuebing Wu and Shao Li -- Cancer genomics to cancer biology / Maria Luz Jaramillo and Chabane Tibiche -- Epithelial-to-mesenchymal transition (EMT) : the good, the bad, and the ugly / Anne EG Lenferink -- Tumors and their microenvironments / Nicholas R. Bertos and Morag Park -- Tumor angiogenesis : cell-microenvironment interactions / Ally Pen, Danica B. Stanimirovic, and Maria J. Moreno -- Modeling tools for cancer systems biology / Wayne Materi and David S. Wishart -- Advanced visualization, analysis, and inference of biological networks using visANT / Zhenjun Hu -- Gene set and pathway-based analysis for cancer omics / Dougu Nam and Seon-Young Kim -- SH2 domain signaling network and cancer / Shawn S.-C. Li and Thamara K.J. Dayarathna -- Data sources and computational tools for cancer systems biology / Yun Ma, Pradeep Kumar Shreenivasaiah, and Edwin Wang |
Summary |
"The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discoveries and biological insights. The First cancer systems biology book designed for computational and experimental biologists. Unique in its dualistic approach, Cancer Systems Biology discusses the recent progress in the understanding of cancer systems biology at a time when more and more researchers and pharmaceutical companies are looking into a systems biology approach to find drugs that can effectively be used to treat cancer patients. Includes contributions from 30+ international experts. Part I introduces basic concepts and theories of systems biology and their applications in cancer research, including case studies of current efforts in cancer systems biology. Part II discusses basic cancer biology and cutting-edge topics of cancer research for computational biologists"--Provided by publisher |
Bibliography |
Includes bibliographical references and index |
Notes |
Print version record |
Subject |
Cancer -- Research -- Methodology
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Systems biology.
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Neoplasms -- genetics
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Systems Biology
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Gene Expression Regulation, Neoplastic -- physiology
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Gene Regulatory Networks -- physiology
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Genes, Neoplasm -- physiology
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Systems Biology -- methods
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HEALTH & FITNESS -- Diseases -- General.
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MEDICAL -- Clinical Medicine.
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MEDICAL -- Diseases.
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MEDICAL -- Evidence-Based Medicine.
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MEDICAL -- Internal Medicine.
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Systems biology
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Form |
Electronic book
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Author |
Wang, Edwin.
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ISBN |
9781439811863 |
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1439811865 |
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9780429075438 |
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042907543X |
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