Editors:
- Intersects broad sub-disciplines within biology, statistics and computer sciences
- Motivates a number of open problems, which provide excellent avenues for continuing efforts in the area
- Focuses on the computational challenges associated with systems-level modeling of biological function
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Department of Electrical Engineering & C, Case Western Reserve University, Cleveland, USA
Mehmet Koyutürk
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Department of Bioengineering, University of California, San Diego, La Jolla, USA
Shankar Subramaniam
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Department of Computer Science, Purdue University, West Lafayette, USA
Ananth Grama
Bibliographic Information
Book Title: Functional Coherence of Molecular Networks in Bioinformatics
Editors: Mehmet Koyutürk, Shankar Subramaniam, Ananth Grama
DOI: https://doi.org/10.1007/978-1-4614-0320-3
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media, LLC 2012
Hardcover ISBN: 978-1-4614-0319-7
Softcover ISBN: 978-1-4899-9640-4
eBook ISBN: 978-1-4614-0320-3
Edition Number: 1
Number of Pages: X, 228
Topics: Systems Biology, Computational Biology/Bioinformatics, Computer Science, general, Biomedical Engineering and Bioengineering