Biological Networks and Pathway Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biological Networks and Pathway Analysis write by Tatiana V. Tatarinova. This book was released on 2017-08-29. Biological Networks and Pathway Analysis available in PDF, EPUB and Kindle. In this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as “systems biology”) and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on implementation advice. Reputable, comprehensive, and cutting-edge, Biological Networks and Pathway Analysis presents both “wet lab” experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field.
Analysis of Biological Networks
Analysis of Biological Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analysis of Biological Networks write by Björn H. Junker. This book was released on 2011-09-20. Analysis of Biological Networks available in PDF, EPUB and Kindle. An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks. Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study. This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research.
Biological Network Analysis
Biological Network Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biological Network Analysis write by Pietro Hiram Guzzi. This book was released on 2020-05-11. Biological Network Analysis available in PDF, EPUB and Kindle. 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. Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes Includes a discussion of various graph theoretic and data analytics approaches
Biological Networks and Pathway Analysis
Biological Networks and Pathway Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Biological Networks and Pathway Analysis write by Tatiana V. Tatarinova. This book was released on 2018-08-03. Biological Networks and Pathway Analysis available in PDF, EPUB and Kindle. In this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as “systems biology”) and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on implementation advice. Reputable, comprehensive, and cutting-edge, Biological Networks and Pathway Analysis presents both “wet lab” experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field.
Weighted Network Analysis
Weighted Network Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Weighted Network Analysis write by Steve Horvath. This book was released on 2011-04-30. Weighted Network Analysis available in PDF, EPUB and Kindle. High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.
