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Advances in network complexity

Dehmer, Matthias, (1968-)

Advances in network complexity

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in network complexityedited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib.
other author:	Dehmer, Matthias,
Published:	Weinheim, Germany :Wiley-Blackwell,2013.
Description:	1 online resource (xiv, 293 p.)
Subject:	Computational biology.
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9783527670468
ISBN:	9783527670475 (electronic bk.)

Advances in network complexity
Advances in network complexity[electronic resource] /edited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib. - Weinheim, Germany :Wiley-Blackwell,2013. - 1 online resource (xiv, 293 p.) - Quantitative and network biology ;v. 4. - Quantitative and network biology ;v. 4..

Includes bibliographical references and index.

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.

ISBN: 9783527670475 (electronic bk.)Subjects--Topical Terms:

210438
Computational biology.

LC Class. No.: QH324

Dewey Class. No.: 574.028

Advances in network complexity
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020 $a 3527670475 (electronic bk.)
020 $a 9783527670468 (electronic bk.)
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082 0 4 $a 574.028 $2 23
245 0 0 $a Advances in network complexity $h [electronic resource] / $c edited by Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib.
260 $a Weinheim, Germany : $b Wiley-Blackwell, $c 2013.
300 $a 1 online resource (xiv, 293 p.)
490 1 $a Quantitative and network biology ; $v v. 4
504 $a Includes bibliographical references and index.
520 $a 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.
588 $a Description based on online resource; title from PDF title page (Wiley, viewed July 24, 2013)
650 0 $a Computational biology. $3 210438
650 0 $a Biomedical engineering $x Mathematical models. $3 278359
700 1 $a Dehmer, Matthias, $d 1968- $3 541274
700 1 $a Mowshowitz, Abbe. $3 699092
700 1 $a Emmert-Streib, Frank. $3 524724
830 0 $a Quantitative and network biology ; $v v. 4. $3 699093
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9783527670468