Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry
Matthias Dehmer, Yongtang Shi, Frank Emmert-Streib (eds.)
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.
Категории:
Год:
2016
Издание:
1
Издательство:
Wiley-VCH
Язык:
english
Страницы:
368
ISBN 10:
3527339582
ISBN 13:
9783527339587
Файл:
PDF, 19.95 MB
IPFS:
,
english, 2016
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