Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his Ph.D. in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria), Vienna University of Technology, and University of Coimbra (Portugal). He obtained his habilitation in applied discrete mathematics from the Vienna University of Technology. Currently, he is Professor at UMIT – The Health and Life Sciences University (Austria) and also holds a position at the Universitat der Bundeswehr Munchen. His research interests are in applied mathematics, bioinformatics, systems biology, graph theory, complexity and information theory. He has written over 180 publications in his research areas.
Frank Emmert-Streib studied physics at the University of Siegen (Germany) gaining his Ph D 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.
9 द्वारा ईबुक Yongtang Shi
Xueliang Li & Yongtang Shi: Graph Energy
This book is about graph energy. The authors have included many of the important results on graph energy, such as the complete solution to the conjecture on maximal energy of unicyclic graphs, the Wa …
PDF
अंग्रेज़ी
€106.99
Zengqiang Chen & Xueliang Li: Mathematical Foundations and Applications of Graph Entropy
This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Grap …
PDF
अंग्रेज़ी
DRM
€142.99
Zengqiang Chen & Xueliang Li: Mathematical Foundations and Applications of Graph Entropy
This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Grap …
EPUB
अंग्रेज़ी
DRM
€142.99
Yongtang Shi & Matthias Dehmer: Computational Network Analysis with R
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. …
EPUB
अंग्रेज़ी
DRM
€151.99
Yongtang Shi & Matthias Dehmer: Computational Network Analysis with R
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. …
PDF
अंग्रेज़ी
DRM
€151.99
Zengqiang Chen & Matthias Dehmer: Modern and Interdisciplinary Problems in Network Science
Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective covers a broad range of concepts and methods, with a strong emphasis on interdisciplinarity. The topics …
EPUB
अंग्रेज़ी
DRM
€64.18
Zengqiang Chen & Matthias Dehmer: Modern and Interdisciplinary Problems in Network Science
Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective covers a broad range of concepts and methods, with a strong emphasis on interdisciplinarity. The topics …
PDF
अंग्रेज़ी
DRM
€64.32
Matthias (UMIT, Hall in Tirol, Austria) Dehmer & Ivan (University of Kragujevac, Serbia) Gutman: Graph Polynomials
This book covers both theoretical and practical results for graph polynomials. Graph polynomials have been developed for measuring combinatorial graph invariants and for characterizing graphs. Variou …
PDF
DRM
€61.19
Matthias (UMIT, Hall in Tirol, Austria) Dehmer & Ivan Gutman: Graph Polynomials
This book covers both theoretical and practical results for graph polynomials. Graph polynomials have been developed for measuring combinatorial graph invariants and for characterizing graphs. Variou …
EPUB
DRM
€61.49