Biological Network Analysis

  • 3h 13m
  • Pietro Hiram Guzzi, Swarup Roy
  • Elsevier Science and Technology Books, Inc.
  • 2021

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.

In this Book

  • Foreword
  • Abstract
  • Introduction
  • Preliminaries of Graph Theory
  • Graph Analysis
  • Complex Network Models
  • Biological Network Databases
  • Gene Expression Networks—Inference and Analysis
  • Protein Interaction Networks
  • Brain Connectome Networks and Analysis
  • Conclusion
SHOW MORE
FREE ACCESS

YOU MIGHT ALSO LIKE

Journey Data Analysis with R
Rating 4.7 of 6 users Rating 4.7 of 6 users (6)
Course CompTIA Data+: Data Analysis Types & Techniques
Rating 4.6 of 15 users Rating 4.6 of 15 users (15)
Course Generative AI Models: Generating Data Using Generative Adversarial Networks