TY  - BOOK
AU  - Juan,Hsueh-Fen
AU  - Huang,Hsuan-Cheng
TI  - Systems biology : applications in cancer-related research
SN  - 9814324450
AV  - QH324.2 S984 2012
PY  - 2012///
CY  - [S.l.]
PB  - World Scientific Publishing Co. Pte. Ltd.
KW  - Biomarkers, Pharmacological
KW  - Computational Biology
KW  - Drug Discovery
KW  - Models, Biological
KW  - Oncology
KW  - Sequence Analysis
KW  - Systems biology
N1  - Systems biology : applications in cancer-related research -- Contents -- Contributors -- Part I: Gene/Protein Networks and Pathways -- Chapter 1: Introduction to Systems Biology -- Chapter 2: Gene Network Construction for Molecular Regulation -- Chapter 3: MicroRNA Regulation in Cellular Networks -- Chapter 4: Disease Modules in Protein-Protein Interaction Networks -- Chapter 5: Biomolecular Pathway Modeling -- Part II: High-Throughput Omics Data and Analysis -- Chapter 6: ChIP-Seq Analytics: Methods and Systems to Improve ChIP-Seq Peak Identification -- Chapter 7: Discovery of Transcription Factor Binding Sites and Its Applications in Cancer Study -- Chapter 8: Cancer Epigenomics -- Chapter 9: Cancer Phosphoproteomics: Tools and Emerging Applications for Mining the Phosphoproteome in Cancer Biology -- Chapter 10: Predicting MicroRNAs -- Chapter 11: MicroRNA Research in Cancer Biology: Databases and Tools -- Part III: Applications for Biomarkers and Drug Discovery -- Chapter 12: The Application of the Next-Generation Sequencing Technologies in Cancer Research -- Chapter 13: Membrane Proteomics for the Opportunity of Cancer Biomarker and Drug Target Discovery -- Chapter 14: Structure-Based Systems Biology and Drug Design in Cancer Research -- Chapter 15: Discovering Drug Targets for Cancer Therapy -- Index; HKBU library; YT2025 M09
N2  -   This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive “systems” view
ER  -