Data Mining in Bioinformatics
8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biologicalresearchhasshiftedfromgenomesequencestoproteinfunctionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and mor
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Also in this series Gregoris Mentzas, Dimitris Apostolou, Andreas Abecker and Ron Young Knowledge Asset Management 1-85233-583-1 Michalis Vazirgiannis, Maria Halkidi and Dimitrios Gunopulos Uncertainty Handling and Quality Assessment in Data Mining 1-85233-655-2 Asuncio´n Go´mez-Pe´rez, Mariano Ferna´ndez-Lo´pez and Oscar Corcho Ontological Engineering 1-85233-551-3 Amo Scharil (Ed.) Environmental Online Communication 1-85233-783-4 Shichao Zhang, Chengqi Zhang and Xindong Wu Knowledge Discovery in Multiple Databases 1-85233-703-6
Jason T.L. Wang, Mohammed J. Zaki, Hannu T.T. Toivonen and Dennis Shasha (Eds)
Data Mining in Bioinformatics With 110 Figures
Jason T.L. Wang, PhD New Jersey Institute of Technology, USA Mohammed J. Zaki, PhD Computer Science Department, Rensselaer Polytechnic Institute, USA Hannu T.T. Toivonen, PhD University of Helsinki and Nokia Research Center Dennis Shasha, PhD New York University, USA Series Editors Xindong Wu Lakhmi Jain
British Library Cataloguing in Publication Data Data mining in bioinformatics. — (Advanced information and knowledge processing) 1. Data mining 2. Bioinformatics — Data processing I. Wang, Jason T. L. 006.3′12 ISBN 1852336714 Library of Congress Cataloging-in-Publication Data A catalogue record for this book is available from the American Library of Congress. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. AI&KP ISSN 1610-3947 ISBN 1-85233-671-4 Springer London Berlin Heidelberg Springer Science+Business Media springeronline.com © Springer-Verlag London Limited 2005 The use of registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Typesetting: Electronic text files prepared by authors Printed and bound in the United States of America 34/3830-543210 Printed on acid-free paper SPIN 10886107
Contents
Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
ix
Part I. Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1
1.
Introduction to Data Mining in Bioinformatics . . . . . . . . . . . 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2
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