Functional Coherence of Molecular Networks in Bioinformatics

Nonfiction, Computers, Advanced Computing, Computer Science, Science & Nature, Science, Biological Sciences
Cover of the book Functional Coherence of Molecular Networks in Bioinformatics by , Springer New York
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Author: ISBN: 9781461403203
Publisher: Springer New York Publication: September 22, 2011
Imprint: Springer Language: English
Author:
ISBN: 9781461403203
Publisher: Springer New York
Publication: September 22, 2011
Imprint: Springer
Language: English

Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.

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