Computational Graph Theory In Bioinformatics
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Graph Theory and Combinatorial Biology
Author | : László Lovász |
Publsiher | : Unknown |
Total Pages | : 424 |
Release | : 1999 |
Genre | : Biology |
ISBN | : UOM:39015056492286 |
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Biological Network Analysis
Author | : Pietro Hiram Guzzi,Swarup Roy |
Publsiher | : Academic Press |
Total Pages | : 210 |
Release | : 2020-05-26 |
Genre | : Science |
ISBN | : 9780128193501 |
Download Biological Network Analysis Book 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
Analysis of Complex Networks
Author | : Matthias Dehmer,Frank Emmert-Streib |
Publsiher | : John Wiley & Sons |
Total Pages | : 480 |
Release | : 2009-07-10 |
Genre | : Medical |
ISBN | : 9783527627998 |
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Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.
Algorithms in Computational Molecular Biology
Author | : Mourad Elloumi,Albert Y. Zomaya |
Publsiher | : John Wiley & Sons |
Total Pages | : 1027 |
Release | : 2011-04-04 |
Genre | : Science |
ISBN | : 9781118101988 |
Download Algorithms in Computational Molecular Biology Book in PDF, Epub and Kindle
This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.
Analysis of Biological Data
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9789814475129 |
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Algorithms on Trees and Graphs
Author | : Gabriel Valiente |
Publsiher | : Springer Science & Business Media |
Total Pages | : 492 |
Release | : 2013-04-17 |
Genre | : Computers |
ISBN | : 9783662049211 |
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Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, such as approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased attention from computational molecular biology and computational chemistry. Centered around the fundamental issue of graph isomorphism, this text goes beyond classical graph problems of shortest paths, spanning trees, flows in networks, and matchings in bipartite graphs. Advanced algorithmic results and techniques of practical relevance are presented in a coherent and consolidated way. This book introduces graph algorithms on an intuitive basis followed by a detailed exposition in a literate programming style, with correctness proofs as well as worst-case analyses. Furthermore, full C++ implementations of all algorithms presented are given using the LEDA library of efficient data structures and algorithms.
Computational Ecology
Author | : Wenjun Zhang |
Publsiher | : World Scientific |
Total Pages | : 382 |
Release | : 2012 |
Genre | : Computers |
ISBN | : 9789814343619 |
Download Computational Ecology Book in PDF, Epub and Kindle
Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such, this book is the first comprehensive treatment of the subject in the areas of ecology and environmental sciences. From this integrated and self-contained book, researchers, university teachers and students will be provided with an in-depth and complete insight on knowledge, methodology and recent advances of graphs, networks and agent-based-modeling in ecology and environmental sciences. Java codes and a standalone software package will be presented in the book for easy use for those not familiar with mathematical details.
Structural Analysis of Complex Networks
Author | : Matthias Dehmer |
Publsiher | : Springer Science & Business Media |
Total Pages | : 493 |
Release | : 2010-10-14 |
Genre | : Mathematics |
ISBN | : 9780817647896 |
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Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology, chemistry, linguistics, and data analysis are emphasized. The book is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. It may also be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods.