Computational Network Analysis with R Applications in Biology, Medicine and Chemistry |
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Editor:
| Dehmer, Matthias Shi, Yongtang Emmert-Streib, Frank |
Series title: | Quantitative and Network Biology Ser. |
ISBN: | 978-3-527-69438-9 |
Publication Date: | Aug 2016 |
Publisher: | John Wiley & Sons, Incorporated
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Imprint: | Wiley-VCH |
Book Format: | Digital download |
List Price: | Contact Supplier contact
Contact Supplier contact
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Book Description:
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This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping....
More DescriptionThis new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics.
With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping.
Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.