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P1: TIX/XYZ P2: ABC
fm JWBS033-Maulik July 20, 2010 7:44 Printer Name: Yet to Come
COMPUTATIONAL
INTELLIGENCE AND
PATTERN ANALYSIS
IN BIOLOGICAL
INFORMATICS
Edited by
UJJWAL MAULIK
Department of Computer Science and Engineering, Jadavpur University,
Kolkata, India
SANGHAMITRA BANDYOPADHYAY
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
JASON T. L. WANG
Department of Computer Science, New Jersey Institute of Technology,
Newark, New Jersey
A JOHN WILEY & SONS, INC., PUBLICATION
www.it-ebooks.info
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fm JWBS033-Maulik July 20, 2010 7:44 Printer Name: Yet to Come
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fm JWBS033-Maulik July 20, 2010 7:44 Printer Name: Yet to Come
COMPUTATIONAL
INTELLIGENCE AND
PATTERN ANALYSIS
IN BIOLOGICAL
INFORMATICS
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fm JWBS033-Maulik July 20, 2010 7:44 Printer Name: Yet to Come
Wiley Series on
Bioinformatics: Computational Techniques and Engineering
A complete list of the titles in this series appears at the end of this volume.
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fm JWBS033-Maulik July 20, 2010 7:44 Printer Name: Yet to Come
COMPUTATIONAL
INTELLIGENCE AND
PATTERN ANALYSIS
IN BIOLOGICAL
INFORMATICS
Edited by
UJJWAL MAULIK
Department of Computer Science and Engineering, Jadavpur University,
Kolkata, India
SANGHAMITRA BANDYOPADHYAY
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
JASON T. L. WANG
Department of Computer Science, New Jersey Institute of Technology,
Newark, New Jersey
A JOHN WILEY & SONS, INC., PUBLICATION
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fm JWBS033-Maulik July 20, 2010 7:44 Printer Name: Yet to Come
Copyright
C
2010 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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for your situation. You should consult with a professional where appropriate. Neither the publisher nor
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For general information on our other products and services or for technical support, please contact our
Customer Care Department within the United States at (800) 762-2974, outside the United States at
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www.wiley.com.
ISBN 978-0-470-58159-9
Library of Congress Cataloging-in-Publication Data is available.
Printed in the United States of America
10987654321
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To Utsav, our students and parents
—U. Maulik and
S. Bandyopadhyay
To my wife Lynn and
daughter Tiffany
—J.T.L.Wang
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CONTENTS
Preface xi
Contributors xvii
PART 1 INTRODUCTION
1 Computational Intelligence: Foundations, Perspectives,
and Recent Trends 3
Swagatam Das, Ajith Abraham, and B. K. Panigrahi
2 Fundamentals of Pattern Analysis: A Brief Overview 39
Basabi Chakraborty
3 Biological Informatics: Data, Tools, and Applications 59
Kevin Byron, Miguel Cervantes-Cervantes, and Jason T. L. Wang
PART II SEQUENCE ANALYSIS
4 Promoter Recognition Using Neural Network Approaches 73
T. Sobha Rani, S. Durga Bhavani, and S. Bapi Raju
5 Predicting microRNA Prostate Cancer Target Genes 99
Francesco Masulli, Stefano Rovetta, and Giuseppe Russo
vii
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viii CONTENTS
PART III STRUCTURE ANALYSIS
6 Structural Search in RNA Motif Databases 119
Dongrong Wen and Jason T. L. Wang
7 Kernels on Protein Structures 131
Sourangshu Bhattacharya, Chiranjib Bhattacharyya,
and Nagasuma R. Chandra
8 Characterization of Conformational Patterns in Active and
Inactive Forms of Kinases using Protein Blocks Approach 169
G. Agarwal, D. C. Dinesh, N. Srinivasan, and Alexandre G. de Brevern
9 Kernel Function Applications in Cheminformatics 189
Aaron Smalter and Jun Huan
10 In Silico Drug Design Using a Computational
Intelligence Technique 237
Soumi Sengupta and Sanghamitra Bandyopadhyay
PART IV MICROARRAY DATA ANALYSIS
11 Integrated Differential Fuzzy Clustering for Analysis of
Microarray Data 259
Indrajit Saha and Ujjwal Maulik
12 Identifying Potential Gene Markers Using SVM
Classifier Ensemble 277
Anirban Mukhopadhyay, Ujjwal Maulik, and
Sanghamitra Bandyopadhyay
13 Gene Microarray Data Analysis Using Parallel Point
Symmetry-Based Clustering 293
Ujjwal Maulik and Anasua Sarkar
PART V SYSTEMS BIOLOGY
14 Techniques for Prioritization of Candidate Disease Genes 309
Jieun Jeong and Jake Y. Chen
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[...]... researchers in biological informatics The chapters dealing with the applications of computationalintelligenceandpatternanalysis techniques in biological informatics provide a representative view of the available methods and their evaluation in real domains The volume will be useful to graduate students and researchers in computer science, bioinformatics, computationaland molecular biology, biochemistry,... contains chapters introducing the basic principles and methodologies of computationalintelligence techniques along with a description of some of its important components, fundamental concepts inpattern analysis, and different issues in biological informatics, including a description of biological data and their sources Detailed descriptions of the different applications of computationalintelligence and. .. of machine intelligence, assessing the arguments against the possibility of creating an intelligent computing machine and suggesting answers to those arguments, proposing the Turing test as an empirical test of intelligence [4] The Turing test, called the imitation game by Turing, measures the performance of a machine against that of a human being The machine and a human (A) are placed in two rooms... reasoning, understanding, learning, and so on Computationalintelligence includes neural networks, fuzzy inference systems, global optimization algorithms, probabilistic computing, swarm intelligence, and so on This chapter introduces the fundamental aspects of the key components of modern computationalintelligence It presents a comprehensive overview of various tools of computationalintelligence (e.g.,... explicitly, using a priori knowledge Another way is to train the neural network by feeding its teaching patterns and letting it change its weights according to some learning rule The learning situations in neural networks may be classified into three distinct types These are supervised, unsupervised, and reinforcement learning In supervised learning, an input vector is presented at the inputs together... Turing proposed the idea of a universal mathematics machine [1,2], a theoretical concept in the mathematical theory of computability Turing and Post independently proved that determining the decidability of mathematical propositions is equivalent to asking what sorts of sequences of a ComputationalIntelligenceandPatternAnalysisin Biological Informatics, Edited by Ujjwal Maulik, Sanghamitra Bandyopadhyay,... Computationalintelligence techniques, which combine elements of learning, adaptation, evolution, and logic, are found to be particularly well suited to many of the problems arising inbiology as they have flexible information processing capabilities for handling huge volume of reallife data with noise, ambiguity, missing values, and so on Solving problems in biological informatics often involves search... 9:59 Printer Name: Yet to Come COMPUTATIONALINTELLIGENCEComputationalIntelligence Family Traditional AI Fuzzy and Granular Computing PR Evolutionary Computing BN NeuroComputing Artificial Life, Rough Sets, Chaos Theory, Swarm Intelligence, and others PR= Probabilistic reasoning, BN= Belief networks FIGURE 1.1 The building blocks of CI fuzzy systems, evolutionary computation, swarm intelligence, and. .. intelligenceandpatternanalysis techniques to biological informatics constitutes the remaining chapters of the book These include tasks related to the analysis of sequences in the second part, structures in the third part, and microarray data in part four Some topics in systems biology form the concluding part of this book In Chapter 1, Das et al present a lucid overview of computational intelligence. .. networks inspired by mammalian neural systems, evolutionary computation inspired by natural selection in biology, simulated annealing inspired by thermodynamics principles and swarm intelligence inspired by collective behavior of insects or micro-organisms, and so on, interacting locally with their environment causing coherent functional global patterns to emerge These techniques have found their way in . practition- ers reporting recent advances in integrating computational intelligence and pattern analysis techniques, either individually or in a hybridized manner, for analyzing bi- ological data in order. 20, 2010 7:44 Printer Name: Yet to Come COMPUTATIONAL INTELLIGENCE AND PATTERN ANALYSIS IN BIOLOGICAL INFORMATICS Edited by UJJWAL MAULIK Department of Computer Science and Engineering, Jadavpur. 20, 2010 7:44 Printer Name: Yet to Come COMPUTATIONAL INTELLIGENCE AND PATTERN ANALYSIS IN BIOLOGICAL INFORMATICS Edited by UJJWAL MAULIK Department of Computer Science and Engineering, Jadavpur