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Cancer systems biology /
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| Format: | Printed Book |
| Published: |
London:
CRC Press.,
2010.
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| Series: | Chapman & Hall/CRC mathematical and computational biology series ;
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| Subjects: | |
| Online Access: | http://www.crcpress.com/product/isbn/9781439811856 |
Table of 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.