Cancer Systems Biology (Chapman & Hall CRC Mathematical & Computational Biology)
β Scribed by Edwin Wang
- Publisher
- CRC Press
- Year
- 2010
- Tongue
- English
- Leaves
- 414
- Series
- Chapman & Hall CRC Mathematical & Computational Biology'',
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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 Designed for Computational and Experimental BiologistsUnusualΒ in its dualistic approach, Cancer Systems Biology discusses the recent progress in the understanding of cancer systems biology at a time when more and more researchers and pharmaceutical companies are looking into a systems biology approach to find drugs that can effectively be used to treat cancer patients. Includes Contributions from more than 30 International ExpertsPart I introduces basic concepts and theories of systems biology and their applications in cancer research, including case studies of current efforts in cancer systems biology. Part II discusses basic cancer biology and cutting-edge topics of cancer research for computational biologists. In contains an overview of genomics, cell signaling, and tumorigenesis, in addition to hot topics like molecular mechanisms of cancer metastasis and the molecular relationships between solid tumors, their microenvironments, and tumor blood vessels. Rounding out the bookβs solid coverage, Part III explores a variety of computational tools and public data resources that are useful for studying cancer problems at a systems level. Cancer systems biology is still in its infancy as a field of study, but it is fast becoming indispensable in the battle to defeat cancer and develop successful new treatments. Cancer Systems Biology marks an important step toward reaching that goal.
π SIMILAR VOLUMES
Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks, most researchers in the field have limited knowledge of stochastic process theory. The stochastic processes formalism provides a beautiful, elegant, and coherent f
Spanning biological, mathematical, computational, and engineering sciences, computational biofluiddynamics addresses a diverse family of problems involving fluid flow inside and around living organisms, organs, tissue, biological cells, and other biological materials. Computational Hydrodynamics of
Understanding how cancer tumours develop and spread is vital for finding treatments and cures. Cancer Modelling and Simulation demonstrates how mathematical modelling and computer simulation techniques are used to discover and gain insight into the dynamics of tumour development and growth. It highl
Rapid developments in experimental techniques continue to push back the limits in the resolution, size, and complexity of the chemical and biological systems that can be investigated. This challenges the theoretical community to develop innovative methods for better interpreting experimental results