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 Biologists
Unusual 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
Experts
Part 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 book's 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.
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