Computational Network Analysis With R: Applications in Biology, Medicine and Chemistry (Quantitative and Network Biology, 7)

Computational Network Analysis With R: Applications in Biology, Medicine and Chemistry (Quantitative and Network Biology, 7)

by: Matthias Dehmer (Editor),Yongtang Shi (Editor),Frank Emmert-Streib (Editor)&0more

Publisher: Vch Pub

Edition: 1st

Publication Date: 2016/12/12

Language: English

Print Length: 343 pages

ISBN-10: 9783527339587

ISBN-13: 9783527339587

Book Description

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.

About the Author

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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