Computational network analysis with R applications in biology, medicine, and chemistry
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-oriente...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
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Weinheim
Wiley-VCH
2017
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| Series: | Quantitative and Network Biology
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| Online Access: | |
| Collection: | Wiley Online Books - Collection details see MPG.ReNa |
| Summary: | 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. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis. |
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| Physical Description: | XVII, 343 Seiten |
| ISBN: | 9783527339587 |