| Description |
xviii, 462 pages : illustrations ; 25 cm |
| Contents |
Contents note continued: 11.Network mapping of metabolic pathways / Qiong Cheng / Alexander Zelikovsky -- 12.Graph structure analysis and computational tractability of scheduling problems / Alexander Kononov / Sergey Sevastyanov -- 13.Complexity of phylogenetic networks : counting cubes in median graphs and related problems / Matjaz Kovse -- 14.Elementary elliptic (R, q)-polycycles / Mikhail Shtogrin / Mathieu Dutour Sikiric / Michel Deza -- 15.Optimal dynamic flows in networks and algorithms for finding them / Dmitrii Lozovanu / Maria Fonoberova -- 16.Analyzing and modeling European R&D collaborations : challenges and opportunities from a large social network / Thomas Scherngell / Michael J. Barber / Manfred Paier -- 17.Analytic combinatorics on random graphs / Michael Drmota / Bernhard Gittenberger |
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Machine generated contents note: 1.Entropy, orbits, and spectra of graphs / Valia Mitsou / Abbe Mowshowitz -- 2.Statistical mechanics of complex networks / Stefan Thurner -- 3.A simple integrated approach to network complexity and node centrality / Danail Bonchev -- 4.Spectral theory of networks : from biomolecular to ecological systems / Ernesto Estrada -- 5.On the structure of neutral networks of RNA pseudoknot structures / Christian M. Reidys -- 6.Graph edit distance - optimal and suboptimal algorithms with applications / Horst Bunke / Kaspar Riesen -- 7.Graph energy / Ivan Gutman / Xueliang Li / Jianbin Zhang -- 8.Generalized shortest path trees : a novel graph class by example of semiotic networks / Alexander Mehler -- 9.Applications of graph theory in chemo- and bioinformatics / M. John / Adel Golovin / Dimitris Dimitropoulos / Eugene Krissinel -- 10.Structural and functional dynamics in cortical and neuronal networks / Marcus Kaiser / Jennifer Simonotto -- |
| Summary |
"Many problems from the life sciences can be cast into a mathematical framework that is based on a graph theoretic description. For this reason a thorough understanding of such methods is increasingly important for the data analysis and modeling of biochemical, biological and biomedical problems." "This book follows a new approach including graph theory from a mathematical perspective by studying applications of network based methods in a context-specific manner. The book is written by renowned experts in the field and offers valuable background information for a wide audience ranging from, e.g., discrete mathematics, applied statistics, biostatistics, computational biology, computer science, machine learning or systems biology." --Book Jacket |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Graph theory.
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Information networks.
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Mathematical analysis.
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| Author |
Dehmer, Matthias, 1968-
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Emmert-Streib, Frank.
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| ISBN |
3527323457 (hbk.) |
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9783527323456 (hbk.) |
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