Statistical and Machine Learning Approaches for Network Analysis

Author:   Matthias Dehmer (Center for Integrative Bioinformatics, Vienna, Austria) ,  Subhash C. Basak (Natural Resources Research Institute, USA)
Publisher:   John Wiley & Sons Inc
ISBN:  

9780470195154


Pages:   344
Publication Date:   07 September 2012
Format:   Hardback
Availability:   Out of stock   Availability explained
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Statistical and Machine Learning Approaches for Network Analysis


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Author:   Matthias Dehmer (Center for Integrative Bioinformatics, Vienna, Austria) ,  Subhash C. Basak (Natural Resources Research Institute, USA)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 16.30cm , Height: 2.30cm , Length: 24.10cm
Weight:   0.608kg
ISBN:  

9780470195154


ISBN 10:   0470195150
Pages:   344
Publication Date:   07 September 2012
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Preface ix Contributors xi 1 A Survey of Computational Approaches to Reconstruct and Partition Biological Networks 1 Lipi Acharya, Thair Judeh, and Dongxiao Zhu 2 Introduction to Complex Networks: Measures, Statistical Properties, and Models 45 Kazuhiro Takemoto and Chikoo Oosawa 3 Modeling for Evolving Biological Networks 77 Kazuhiro Takemoto and Chikoo Oosawa 4 Modularity Configurations in Biological Networks with Embedded Dynamics 109 Enrico Capobianco, Antonella Travaglione, and Elisabetta Marras 5 Influence of Statistical Estimators on the Large-Scale Causal Inference of Regulatory Networks 131 Ricardo de Matos Simoes and Frank Emmert-Streib 6 Weighted Spectral Distribution: A Metric for Structural Analysis of Networks 153 Damien Fay, Hamed Haddadi, Andrew W. Moore, Richard Mortier, Andrew G. Thomason, and Steve Uhlig 7 The Structure of an Evolving Random Bipartite Graph 191 Reinhard Kutzelnigg 8 Graph Kernels 217 Matthias Rupp 9 Network-Based Information Synergy Analysis for Alzheimer Disease 245 Xuewei Wang, Hirosha Geekiyanage, and Christina Chan 10 Density-Based Set Enumeration in Structured Data 261 Elisabeth Georgii and Koji Tsuda 11 Hyponym Extraction Employing a Weighted Graph Kernel 303 Tim vor der Br¨uck Index 327

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Author Information

MATTHIAS DEHMER, PHD, is Head of the Institute for Bioinformatics and Trans- lational Research at the University for Health Sciences, Medical Informatics and Technology (Austria). He has written over 130 publications in his research areas, which include bioinformatics, systems biology, and applied discrete mathematics. Dr. Dehmer is also the coeditor of Applied Statistics for Network Biology, Statistical Modelling of Molecular Descriptors in QSAR/QSPR, Medical Biostatistics for Complex Diseases, Analysis of Complex Networks, and Analysis of Microarray Data, all published by Wiley. SUBHASH C. BASAK, PHD, is Senior Research Associate at the Natural Resources Research Institute. He has published extensively in the areas of biochemical pharmacology, toxicology, mathematical chemistry, and computational chemistry.

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