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Computational Methods for Processing and Analysis of Biological Pathways

  • Anastasios Bezerianos
  • Andrei Dragomir
  • Panos Balomenos

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 1-10
  3. Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 11-46
  4. Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 47-68
  5. Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 69-87

About this book

Introduction

This work offers a guided walkthrough of one of the most promising research areas in modern life sciences, enabling a deeper understanding of involved concepts and methodologies via an interdisciplinary view, focusing on both well-established approaches and cutting-edge research. Highlighting what pathway analysis can offer to both the experimentalist and the modeler, the text opens with an introduction to a general methodology that outlines common workflows shared by several methods. This is followed by a review of pathway and sub-pathway based approaches for systems pharmacology. The work then presents an overview of pathway analysis methods developed to model the temporal aspects of drug- or disease-induced perturbations and extract relevant dynamic themes. The text concludes by discussing several state-of-the-art methods in pathway analysis, which address the important problem of identifying differentially expressed pathways and sub-pathways.

Keywords

Bioinformatics Systems Biology Network Biology Pathway Analysis Graph Theory

Authors and affiliations

  1. 1.University of PatrasPatrasGreece
  2. 2.University of HoustonHoustonUSA
  3. 3.University of PatrasPatrasGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-53868-6
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-53867-9
  • Online ISBN 978-3-319-53868-6
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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