Statistical and Evolutionary Analysis of Biological Networks

版本说明：1st

作     者：Stumpf, Michael P.H. Wiuf, Carsten 

I S B N：(纸本) 9781848164338 

出 版 社：World Scientific Publishing Co  Inc. 

出 版 年：2009年

页      数：180页

主 题 词：Statistics Scientific Computing Computer Science Combinatorics Mathematical Programming Operations Research Mathematics - Topology Mathematical Modeling - Science 

学科分类：0710[理学-生物学] 07[理学] 09[农学] 070104[理学-应用数学] 0701[理学-数学] 

摘      要：Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical *** recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by network evolution and functionalityThe book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material. The authors, who contribute to the book, are active, highly regarded and well-known in the network community.