Cover image for Cancer systems biology
Title:
Cancer systems biology
Author:
Wang, Edwin.
ISBN:
9781439811863
Publication Information:
Boca Raton : Taylor & Francis, 2010.
Physical Description:
455 p.
Series:
Chapman & Hall/CRC mathematical and computational biology series ; 32
Series Title:
Chapman & Hall/CRC mathematical and computational biology series ; 32
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 RÇİa 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.
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