Omics is an emerging and exciting area in the field of science and medicine. Numerous promising developments have been elucidated using omics (including genomics, transcriptomics, epigenomics, proteomics, metabolomics, interactomics, cytomics and bioinformatics) in cancer research. The development of high-throughput technologies that permit the solution of deciphering cancer from higher dimensionality will provide a knowledge base which changes the face of cancer understanding and therapeutics.
This is the first book to provide such a comprehensive coverage of a rapidly evolving area written by leading experts in the field of omics. It complies and details cutting-edge cancer research that covers the broad advances in the field and its application from cancer-associated gene discovery to drug target validation. It also highlights the potential of using integration approach for cancer research.
This unique and timely book provides a thorough overview of developing omics, which will appeal to anyone involved in cancer research. It will be a useful reference book for graduate students of different subjects (medicine, biology, engineering, etc) and senior scientists interested in the fascinating area of advanced technologies in cancer research.
Readership: This is a precious book for all types of readers – cancer researchers, oncologists, pathologists, biologists, clinical chemists, pharmacologists, pharmaceutical specialists, biostatisticians, and bioinformaticists who want to expand their knowledge in cancer research.
Jadual kandungan
Omics Approaches in Cancer Research.- Recent Advances in Cancer Genomics and Cancer-Associated Genes Discovery.- An Integrated Oncogenomic Approach: From Genes to Pathway Analyses.- The Epigenomics of Cancer.- Involvement of Micro RNAs in Human Cancer: Discovery and Expression Profiling.- Functional Proteomics in Oncology: A Focus on Antibody Array-Based Technologies.- Protein Graphs in Cancer Prediction.- The Use of Metabolomics in Cancer Research.- Interactomics and Cancer.- Cytomics and Predictive Medicine for Oncology.- The Frontiers of Computational Phenomics in Cancer Research.- Application of Bioinformatics in Cancer Research.- Translational Medicine: Application of Omics for Drug Target Discovery and Validation.- Integration of Omics Data for Cancer Research.
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