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STATISTICAL AND
MACHINE LEARNING
APPROACHES FOR
NETWORK ANALYSIS
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STATISTICAL AND
MACHINE LEARNING
APPROACHES FOR
NETWORK ANALYSIS
Edited by
MATTHIAS DEHMER
UMIT – The Health and Life Sciences University, Institute for Bioinformatics and
Translational Research, Hall in Tyrol, Austria
SUBHASH C. BASAK
Natural Resources Research Institute
University of Minnesota, Duluth
Duluth, MN, USA
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Copyright © 2012 by John Wiley & Sons, Inc. All rights reserved
Published by John Wiley & Sons, Inc., Hoboken, New Jersey
Published simultaneously in Canada
No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or
by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as
permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior
written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to
the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax
(978) 750-4470, or on the web at www.copyright.com. Requests to the Publisher for permission should
be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ
07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permission.
Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in
preparing this book, they make no representations or warranties with respect to the accuracy or
completeness of the contents of this book and specifically disclaim any implied warranties of
merchantability or fitness for a particular purpose. No warranty may be created or extended by sales
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Library of Congress Cataloging-in-Publication Data:
ISBN: 978-0-470-19515-4
Printed in the United States of America
10987654321
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To Christina
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CONTENTS
Preface
ix
Contributors
xi
1 A Survey of Computational Approaches to Reconstruct and
Partition Biological Networks
1
Lipi Acharya, Thair Judeh, and Dongxiao Zhu
2
Introduction to Complex Networks: Measures,
Statistical Properties, and Models
45
Kazuhiro Takemoto and Chikoo Oosawa
3 Modeling for Evolving Biological Networks
77
Kazuhiro Takemoto and Chikoo Oosawa
4 Modularity Configurations in Biological Networks with
Embedded Dynamics
109
Enrico Capobianco, Antonella Travaglione, and Elisabetta Marras
5
Influence of Statistical Estimators on the Large-Scale
Causal Inference of Regulatory Networks
131
Ricardo de Matos Simoes and Frank Emmert-Streib
vii
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