Statistical and machine learning approaches for network analysis /

• Κύριος συγγραφέας: Dehmer, Matthias, 1968-
• Άλλοι συγγραφείς: Basak, Subhash C., 1945-
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, N.J. : Wiley, 2012.
• Σειρά: Wiley series in computational statistics ; 707
• Θέματα: Research > Statistical methods.; Machine theory.; Communication > Network analysis > Graphic methods.; Information science > Statistical methods.; MATHEMATICS > Probability & Statistics > General.; Research / Statistical methods.; Communication / Network analysis / Graphic methods.; Information science / Statistical methods.; Electronic books.

"This book explores novel graph classes and presents novel methods to classify networks. It particularly addresses the following problems: exploration of novel graph classes and their relationships among each other; existing and classical methods to analyze networks; novel graph similarity and...

Πίνακας περιεχομένων:

• Statistical and Machine Learning Approaches for Network Analysis; Contents; Preface; Contributors; 1 A Survey of Computational Approaches to Reconstruct and Partition Biological Networks; 1.1 INTRODUCTION; 1.2 BIOLOGICAL NETWORKS; 1.2.1 Directed Networks; 1.2.2 Undirected Networks; 1.3 GENOME-WIDE MEASUREMENTS; 1.3.1 Gene Expression Data; 1.3.2 Gene Sets; 1.4 RECONSTRUCTION OF BIOLOGICAL NETWORKS; 1.4.1 Reconstruction of Directed Networks; 1.4.1.1 Boolean Networks; 1.4.1.2 Probabilistic Boolean Networks; 1.4.1.3 Bayesian Networks; 1.4.1.4 Collaborative Graph Model; 1.4.1.5 Frequency Method.