Computational Network Analysis with R. Applications in Biology, Medicine, and Chemistry. With figures
Language: English
Published by Wiley-VCH, Weinheim, 2017
- Hardcover
- Used
Seller: Der Buchfreund, Wien, AustriaDer Buchfreund
AbeBooks seller since February 12, 2002
Condition: Used - Very good
£ 84.77
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Add to basketItem description from seller
gr8 Original-Pappband en Biologie, Chemie, Medizin (Quantitative and Network Biology. Vol. 7); XVII pp., 343 pp.
Seller Inventory # 6978571
- Title
- Computational Network Analysis with R. Applications in Biology, Medicine, and Chemistry. With figures
- Author
- Dehmer, Matthias / Shi, Yongtang / Emmert-Streib, Frank (Ed.)
- Publisher
- Wiley-VCH, Weinheim
- Publication year
- 2017
- Condition
- Sehr gut
- Binding
- Original-Pappband
- Language
- English
- ISBN 10
- 3527339582
- ISBN 13
- 9783527339587
- Item weight
- 1,500 grams
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.
"Synopsis" may belong to another edition of this title.
About the Author
Yongtang Shi studied mathematics at Northwest University (Xi'an, China) and received his Ph.D in applied mathematics from Nankai University (Tianjin, China). He visited Technische Universitat Bergakademie Freiberg (Germany), UMIT (Austria) and Simon Fraser University (Canada). Currently, he is an associate professor at the Center for Combinatorics of Nankai University. His research interests are in graph theory and its applications, especially the applications of graph theory in mathematical chemistry, computer science and information theory. He has written over 40 publications in graph theory and its applications.
Frank Emmert-Streib studied physics at the University of Siegen (Germany) gaining his PhD in theoretical physics from the University of Bremen (Germany). He received postdoctoral training from the Stowers Institute for Medical Research (Kansas City, USA) and the University of Washington (Seattle, USA). Currently, he is associate professor for Computational Biology at Tampere University of Technology (Finland). His main research interests are in the field of computational medicine, network biology and statistical genomics.
"About the title" may belong to another edition of this title.
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