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2017 | Book

Introduction Read chapter Read first chapter

Summarizing Biological Networks

Authors: Sourav S. Bhowmick, Boon-Siew Seah

Publisher: Springer International Publishing

Book Series : Computational Biology

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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About this book

This book focuses on the data mining, systems biology, and bioinformatics computational methods that can be used to summarize biological networks. Specifically, it discusses an array of techniques related to biological network clustering, network summarization, and differential network analysis which enable readers to uncover the functional and topological organization hidden in a large biological network. The authors also examine crucial open research problems in this arena.
Academics, researchers, and advanced-level students will find this book to be a comprehensive and exceptional resource for understanding computational techniques and their applications for a summary of biological networks.

Table of Contents

Frontmatter
Chapter 1. Introduction
Abstract
For decades, scientists have studied the components of living systems in isolation [1].
Sourav S. Bhowmick, Boon-Siew Seah
Chapter 2. Background
Abstract
This chapter provides an overview of key topics that serve as background for the rest of the book. First, we discuss the roles of proteins in living organisms.
Sourav S. Bhowmick, Boon-Siew Seah
Chapter 3. Clustering PPI Networks
Abstract
Due to the availability of large-scale ppi networks, since the last decade significant research efforts have been invested in analyzing these networks in order to comprehend cellular organization and functioning [1].
Sourav S. Bhowmick, Boon-Siew Seah
Chapter 4. Functional Summarization
Abstract
In the preceding chapter, we have discussed an array of techniques for ppi network clustering. In this chapter, we explore recent work in ppi network summarization, a problem that is closely related to clustering.
Sourav S. Bhowmick, Boon-Siew Seah
Chapter 5. Multi-faceted Functional Decomposition
Abstract
In this chapter, we present a ppi decomposition algorithm called facets [1] in order to make sense of the deluge of interaction data using go annotation data.
Sourav S. Bhowmick, Boon-Siew Seah
Chapter 6. Differential Functional Summarization
Abstract
In the preceding chapters, we have focused our discussions on clustering and summarizing static biological networks.
Sourav S. Bhowmick, Boon-Siew Seah
Chapter 7. The Road Ahead
Abstract
In this chapter, we summarize the contributions of this book and establish several lines of inquiry associated with clustering and summarizing biological networks for future research.
Sourav S. Bhowmick, Boon-Siew Seah
Backmatter
Metadata
Title
Summarizing Biological Networks
Authors
Sourav S. Bhowmick
Boon-Siew Seah
Copyright Year
2017
Electronic ISBN
978-3-319-54621-6
Print ISBN
978-3-319-54620-9
DOI
https://doi.org/10.1007/978-3-319-54621-6

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