Dehmer, Matthias
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-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.
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.
Keywords: network, statistical analysis, biology, chemoinformatics, sampling, bootstrapping, software, freeware
- Author(s)
- Dehmer, Matthias
- Emmert-Streib, Frank
- Shi, Yongtang
- Editor
- Dehmer, Matthias
- Shi, Yongtang
- Emmert-Streib, Frank
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2017
- Language
- en
- Edition
- 1
- Series
- Quantitative and Network Biology
- Page amount
- 368 pages
- Category
- Medicine, Health Care, Mode
- Format
- Ebook
- eISBN (ePUB)
- 9783527694372
- Printed ISBN
- 9783527694402