Statistical and Evolutionary Analysis of Biological Networks

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 analysis. In 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 functionality. This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The 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. Sample Chapter(s). Chapter 1: A Network Analysis Primer (350 KB). Contents: A Network Analysis Primer (M P H Stumpf & C Wiuf); Evolutionary Analysis of Protein Interaction Networks (C Wiuf & O Ratmann); Motifs in Biological Networks (F Schreiber & H SchwAbbermeyer); Bayesian Analysis of Biological Networks: Clusters, Motifs, Cross-Species Correlations (J Berg & M Lnssig); Network Concepts and Epidemiological Models (R R Kao & I Z Kiss); Evolutionary Origin and Consequences of Design Properties of Metabolic Networks (T Pfeiffer & S Bonhoeffer); Protein Interactions from an Evolutionary Perspective (F Pazos & A Valencia); Statistical Null Models for Biological Network Analysis (W P Kelly et al.). Readership: Academics, researchers, postgraduates and advanced undergraduates in bioinformatics. Biologists, mathematicians/statisticians, physicists and computer scientists.

Produk Detail:

  • Author : Michael P. H. Stumpf
  • Publisher : World Scientific
  • Pages : 170 pages
  • ISBN : 1848164343
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKStatistical and Evolutionary Analysis of Biological Networks

Statistical and Evolutionary Analysis of Biological Networks

Statistical and Evolutionary Analysis of Biological Networks
  • Author : Michael P. H. Stumpf
  • Publisher : World Scientific
  • Release : 04 July 2022
GET THIS BOOKStatistical and Evolutionary Analysis of Biological Networks

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 analysis. In 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

Computational and Evolutionary Analysis of HIV Molecular Sequences

Computational and Evolutionary Analysis of HIV Molecular Sequences
  • Author : Allen G. Rodrigo,Gerald H. Learn Jr.
  • Publisher : Springer Science & Business Media
  • Release : 08 May 2007
GET THIS BOOKComputational and Evolutionary Analysis of HIV Molecular Sequences

Computational and Evolutionary Analysis of HIV Molecular Sequences is for all researchers interested in HIV research, even those who only have a nodding acquaintance with computational biology (or those who are familiar with some, but not all, aspects of the field). HIV research is unusual in that it brings together scientists from a wide range of disciplines: clinicians, pathologists, immunologists, epidemiologists, virologists, computational biologists, structural biologists, evolutionary biologists, statisticians and mathematicians. This book seeks to bridge the gap between these

Analysis of Phylogenetics and Evolution with R

Analysis of Phylogenetics and Evolution with R
  • Author : Emmanuel Paradis
  • Publisher : Springer Science & Business Media
  • Release : 06 November 2011
GET THIS BOOKAnalysis of Phylogenetics and Evolution with R

The increasing availability of molecular and genetic databases coupled with the growing power of computers gives biologists opportunities to address new issues, such as the patterns of molecular evolution, and re-assess old ones, such as the role of adaptation in species diversification. In the second edition, the book continues to integrate a wide variety of data analysis methods into a single and flexible interface: the R language. This open source language is available for a wide range of computer systems

Evolutionary Genetics

Evolutionary Genetics
  • Author : Glenn-Peter Sætre,Mark Ravinet
  • Publisher : Oxford University Press, USA
  • Release : 01 May 2019
GET THIS BOOKEvolutionary Genetics

Evolutionary genetics is the study of how genetic variation leads to evolutionary change. With the recent explosion in the availability of whole genome sequence data, vast quantities of genetic data are being generated at an ever-increasing pace with the result that programming has become an essential tool for researchers. Most importantly, a thorough understanding of evolutionary principles is essential for making sense of this genetic data. This up-to-date textbook covers all the major components of modern evolutionary genetics, carefully explaining

Race Differences in Intelligence

Race Differences in Intelligence
  • Author : Richard Lynn
  • Publisher : Unknown Publisher
  • Release : 01 August 2014
GET THIS BOOKRace Differences in Intelligence

Through more than 50 years of academic research, Richard Lynn has distinguished himself as one of the world's preeminent authorities on intelligence, personality, and human biodiversity. *Race Differences in Intelligence* is his essential work on this most controversial and consequential topic. Covering more than 500 published studies that span 10 population groups, Lynn demonstrates both the validity of innate intelligence as well as its heritability across racial groups. The Second Edition (2014) has been revised and updated to reflect the latest research.

Evolutionary Analysis

Evolutionary Analysis
  • Author : Scott Freeman,Jon C. Herron
  • Publisher : Unknown Publisher
  • Release : 04 July 2022
GET THIS BOOKEvolutionary Analysis

Designed to help readers learn how to "think" like evolutionary biologists, this 4-color book approaches evolutionary biology as a dynamic field of inquiry and as a "process." Using a theme-based approach, it illustrates the interplay between theory, observation, testing and interpretation. It offers commentary on strengths and weaknesses of data sets, gives detailed examples rather than a broad synoptic approach, includes many data graphics and boxes regarding both sides of controversies. Introduces each major organizing theme in evolution through a

Analysis of Evolutionary Processes

Analysis of Evolutionary Processes
  • Author : Fabio Dercole,Sergio Rinaldi
  • Publisher : Princeton University Press
  • Release : 11 February 2008
GET THIS BOOKAnalysis of Evolutionary Processes

Quantitative approaches to evolutionary biology traditionally consider evolutionary change in isolation from an important pressure in natural selection: the demography of coevolving populations. In Analysis of Evolutionary Processes, Fabio Dercole and Sergio Rinaldi have written the first comprehensive book on Adaptive Dynamics (AD), a quantitative modeling approach that explicitly links evolutionary changes to demographic ones. The book shows how the so-called AD canonical equation can answer questions of paramount interest in biology, engineering, and the social sciences, especially economics. After

Statistical and Evolutionary Analysis of Biological Networks

Statistical and Evolutionary Analysis of Biological Networks
  • Author : Michael P. H. Stumpf,Carsten Wiuf
  • Publisher : World Scientific
  • Release : 04 July 2022
GET THIS BOOKStatistical and Evolutionary Analysis of Biological Networks

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 analysis. In 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

Schumpeter's Evolutionary Economics

Schumpeter's Evolutionary Economics
  • Author : Esben Sloth Andersen
  • Publisher : Anthem Press
  • Release : 01 April 2009
GET THIS BOOKSchumpeter's Evolutionary Economics

Joseph Schumpeter’s views on innovation, entrepreneurship and creative destruction are widely cited in many fields of the social sciences, and are influential in policy and decision making, yet they have often been misinterpreted and misunderstood. ‘Schumpeter’s Evolutionary Economics’ fills this void of analysis by introducing novel interpretations of Schumpeter’s five major works, and tracing the development of his intellectual theory and framework. In so doing it places our understanding of Schumpeter on a new and firmer footing.

The New Evolutionary Sociology

The New Evolutionary Sociology
  • Author : Jonathan H. Turner,Richard S. Machalek
  • Publisher : Routledge
  • Release : 09 March 2018
GET THIS BOOKThe New Evolutionary Sociology

For decades, evolutionary analysis was overlooked or altogether ignored by sociologists. Fears and biases persisted nearly a century after Auguste Comte gave the discipline its name, as did concerns that its effect would only reduce sociology to another discipline – whether biology, psychology, or economics. Worse, apprehension that the application of evolutionary theory would encourage heightened perceptions of racism, sexism, ethnocentrism and reductionism pervaded. Turner and Machalek argue instead for a new embrace of biology and evolutionary analysis. Sociology, from its

Applied Evolutionary Anthropology

Applied Evolutionary Anthropology
  • Author : Mhairi A. Gibson,David W. Lawson
  • Publisher : Springer Science & Business Media
  • Release : 10 March 2014
GET THIS BOOKApplied Evolutionary Anthropology

As a species, we are currently experiencing dramatic shifts in our lifestyle, family structure, health, and global contact. Evolutionary Anthropology provides a powerful theoretical framework to study such changes, revealing how current environments and legacies of past selection shape human diversity. This book is the first major review of the emerging field of Applied Evolutionary Anthropology bringing together the work of an international group of evolutionary scientists, addressing many of the major public health and social issues of this century.