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Computational Methods for Processing and Analysis of Biological Pathways

  • Book
  • © 2017

Overview

Authors:
  1. Anastasios Bezerianos

    1. University of Patras, Patras, Greece

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  2. Andrei Dragomir

    1. University of Houston, Houston, USA

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  3. Panos Balomenos

    1. University of Patras, Patras, Greece

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  • Presents a guide to one of the most promising research areas in modern life sciences
  • Provides a hands-on understanding of concepts and methodologies involved in Pathway Analysis via an interdisciplinary view of the subject
  • Enables the reader to dive into the research area by focusing on both well-established approaches and cutting-edge research
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (4 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. Introduction

    • Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 1-10

  3. Networks and Pathways in Systems Pharmacology

    • Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 11-46

  4. Time-Varying Methods for Pathway and Sub-pathway Analysis

    • Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 47-68

  5. Identification of Differentially Expressed Pathways and Sub-pathways

    • Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos
    Pages 69-87
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Keywords

About this book

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.

Authors and Affiliations

  • University of Patras, Patras, Greece

    Anastasios Bezerianos, Panos Balomenos

  • University of Houston, Houston, USA

    Andrei Dragomir

About the authors

Anastasios Bezerianos is a Professor at the Medical School of Patras University, Greece. He is also a Senior Principal Research Fellow at the Singapore Institute for Neurotechnology (SINAPSE) within the Centre for Life Sciences (CeLS), a Research Professor in the Department of Electrical and Computer Engineering (ECE), and a member of the Faculty of NUS Graduate School (NGS) for Integrative Sciences and Engineering at the National University of Singapore (NUS).

Andrei Dragomir is a Research Assistant Professor at the Department of Biomedical Engineering of the University of Houston, TX, USA.

Panos Balomenos is a PhD Candidate at the Computer Engineering and Informatics Department of the University of Patras, Greece.

Bibliographic Information

  • Book Title: Computational Methods for Processing and Analysis of Biological Pathways

  • Authors: Anastasios Bezerianos, Andrei Dragomir, Panos Balomenos

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-53868-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s) 2017

  • Softcover ISBN: 978-3-319-53867-9Published: 08 June 2017

  • eBook ISBN: 978-3-319-53868-6Published: 09 March 2017

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: VIII, 87

  • Number of Illustrations: 11 illustrations in colour

  • Topics: Computational Biology/Bioinformatics, Systems Biology

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