Computational network analysis with R : applications in biology, medicine, and chemistry / edited by Mathtias Dehmer, Yongtang Shi, and Frank Emmert-Streib.
Material type:
TextSeries: Quantitative and network biology ; v. 7.Publisher: Weinheim : Wiley-VCH, [2017]Copyright date: ©2017Description: 1 online resource (365 pages) : color illustrationsContent type: - text
- computer
- online resource
- 9783527694402 (e-book)
- QA276.45.R3 C66 2017
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Enhanced descriptions from Syndetics:
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.
Includes index.
Description based on online resource; title from PDF title page (ebrary, viewed August 29, 2016).
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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