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Network Inference in Molecular Biology

A Hands-on Framework

  • Jesse M. Lingeman
  • Dennis Shasha
Book

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Jesse M Lingeman, Dennis Shasha
    Pages 1-9
  3. Jesse M Lingeman, Dennis Shasha
    Pages 11-22
  4. Jesse M Lingeman, Dennis Shasha
    Pages 23-50
  5. Jesse M Lingeman, Dennis Shasha
    Pages 51-76
  6. Jesse M Lingeman, Dennis Shasha
    Pages 77-95
  7. Back Matter
    Pages 97-100

About this book

Introduction

Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for every data set.

Network Inference in Molecular Biology examines the current techniques used by researchers, and provides key insights into which algorithms best fit a collection of data. Through a series of in-depth examples, the book also outlines how to mix-and-match algorithms, in order to create one tailored to a specific data situation.

Network Inference in Molecular Biology is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable.

Keywords

Clustering Gene Regulatory Networks Knock-outs Network Inference Overexpression

Authors and affiliations

  • Jesse M. Lingeman
    • 1
  • Dennis Shasha
    • 2
  1. 1.New York UniversityNew YorkUSA
  2. 2.New York UniversityNew YorkUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-3113-8
  • Copyright Information The Author(s) 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-3112-1
  • Online ISBN 978-1-4614-3113-8
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site