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Cancer systems biology

Author: Edwin Wang
Publisher: Boca Raton : CRC Press, 2010.
Series: Chapman and Hall/CRC mathematical & computational biology series, 32.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Cancer systems biology.
Boca Raton : CRC Press, 2010
(DLC) 2009039065
(OCoLC)444336952
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Edwin Wang
ISBN: 9781439811863 1439811865
OCLC Number: 646788221
Description: 1 online resource (xix, 419 pages) : illustrations (some color).
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 Réka 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. 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.
Series Title: Chapman and Hall/CRC mathematical & computational biology series, 32.
Responsibility: edited by Edwin Wang.
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Abstract:

The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation to glean meaningful information in systems-level  Read more...

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"This book is a wonderful and significant collection of chapters describing recent progress of cancer systems biology. This is a timely attempt as more and more researchers and pharmaceutical Read more...

 
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