<?xml version="1.0" encoding="UTF-8"?>
<metadata
  xmlns="http://example.org/myapp/"
  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://example.org/myapp/ http://example.org/myapp/schema.xsd"
  xmlns:dc="http://purl.org/dc/elements/1.1/"
  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>Advances in network complexity / edited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib. [electronic resource]</dc:Title>
<dc:Creator>Dehmer, Matthias, 1968- editor.</dc:Creator>
<dc:Creator>Mowshowitz, Abbe, editor.</dc:Creator>
<dc:Creator>Emmert-Streib, Frank, editor.</dc:Creator>
<dc:Subject>Computational biology.</dc:Subject>
<dc:Subject>Biomedical engineering Mathematical models.</dc:Subject>
<dc:Subject>QH324</dc:Subject>
<dc:Subject>574.028 23</dc:Subject>
<dc:Description>Includes bibliographical references and index.</dc:Description>
<dc:Description>Online resource; title from PDF title page (Wiley, viewed July 24, 2013).</dc:Description>
<dc:Description>A well-balanced overview of mathematical approaches to describe complex systems, ranging from chemical reactions to gene regulation networks, from ecological systems to examples from social sciences. Matthias Dehmer and Abbe Mowshowitz, a well-known pioneer in the field, co-edit this volume and are careful to include not only classical but also non-classical approaches so as to ensure topicality. Overall, a valuable addition to the literature and a must-have for anyone dealing with complex systems.</dc:Description>
<dc:Publisher>Weinheim, Germany : Wiley-Blackwell,</dc:Publisher>
<dc:Date>[2013]</dc:Date>
<dc:Date>[2013]</dc:Date>
<dc:Date>2013</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource (xiv, 293 pages .).</dc:Format>
<dc:Identifier>http://onlinelibrary.wiley.com/book/10.1002/9783527670468</dc:Identifier>
<dc:Language>eng</dc:Language>
<dc:Relation>Quantitative and network biology ; volume 4</dc:Relation>
<dc:Relation>Quantitative and network biology ; v. 4.</dc:Relation>

</metadata>