Microarray Bioinformatics
This book provides a comprehensive, interdisciplinary collection of the main, up-to-date methods, tools, and techniques for microarray data analysis, covering the necessary steps for the acquisition of the data, its preprocessing, and its posterior analys
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Verónica Bolón-Canedo Amparo Alonso-Betanzos Editors
Microarray Bioinformatics
METHODS
IN
MOLECULAR BIOLOGY
Series Editor John M. Walker School of Life and Medical Sciences, University of Hertfordshire, Hatfield, Hertfordshire, AL10 9AB, UK
For further volumes: http://www.springer.com/series/7651
Microarray Bioinformatics Edited by
Verónica Bolón-Canedo and Amparo Alonso-Betanzos CITIC, Universidade da Coruña, A Coruña, Spain
Editors Vero´nica Bolo´n-Canedo CITIC ˜a Universidade da Corun ˜ a, Spain A Corun
Amparo Alonso-Betanzos CITIC ˜a Universidade da Corun ˜ a, Spain A Corun
ISSN 1064-3745 ISSN 1940-6029 (electronic) Methods in Molecular Biology ISBN 978-1-4939-9441-0 ISBN 978-1-4939-9442-7 (eBook) https://doi.org/10.1007/978-1-4939-9442-7 © Springer Science+Business Media, LLC, part of Springer Nature 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Humana Press imprint is published by the registered company Springer Science+Business Media, LLC, part of Springer Nature. The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A.
Preface Over the last few decades, advances in molecular genetics technologies, such as DNA microarrays, have stimulated a new line of research in bioinformatics. DNA microarrays allow us to obtain a global view of the cell, where it is possible to measure the simultaneous expression of tens of thousands of genes. In particular, this type of data works by collecting information from tissue and cell samples regarding gene expression differences that could be useful for diagnosing disease or for distinguishing a specific tumor type. Microarray data quickly became very popular among bioinformatics researchers. In a microarray experiment, there are usually very few samples (often fewer than 100 samples), but the number of features in the raw data ranges up to 60,000. This high dimensionali
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