Computational Network Analysis with R : Applications in Biology, Medicine and Chemistry Hardback
Edited by Matthias Dehmer, Yongtang Shi, Frank Emmert-Streib
Part of the Quantitative and Network Biology (VCH) series
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.
- Format: Hardback
- Pages: 368 pages
- Publisher: Wiley-VCH Verlag GmbH
- Publication Date: 15/09/2016
- Category: Chemistry
- ISBN: 9783527339587