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Microarray Bioinformatics

  • Verónica Bolón-Canedo
  • Amparo Alonso-Betanzos
Book

Part of the Methods in Molecular Biology book series (MIMB, volume 1986)

Table of contents

  1. Front Matter
    Pages i-x
  2. Dilara Ayyildiz, Silvano Piazza
    Pages 1-15
  3. Kathleen M. Eyster
    Pages 17-33
  4. Yi-An Chen, Lokesh P. Tripathi, Kenji Mizuguchi
    Pages 35-64
  5. Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández, Noelia Sánchez-Maroño
    Pages 65-85
  6. Ricardo Gonzalo Sanz, Alex Sánchez-Pla
    Pages 87-121
  7. Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández, Borja Seijo-Pardo
    Pages 123-152
  8. Manuel Franco, Juana-María Vivo
    Pages 153-183
  9. Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez
    Pages 185-205
  10. Yolanda Larriba, Cristina Rueda, Miguel A. Fernández, Shyamal D. Peddada
    Pages 207-225
  11. Jorge González-Domínguez, Roberto R. Expósito
    Pages 227-243
  12. Ricardo Cao, Ignacio López-de-Ullibarri
    Pages 245-253
  13. Kohbalan Moorthy, Aws Naser Jaber, Mohd Arfian Ismail, Ferda Ernawan, Mohd Saberi Mohamad, Safaai Deris
    Pages 255-266
  14. Giuseppe Agapito
    Pages 267-282
  15. Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Ignacio López-de-Ullibarri, Ricardo Cao
    Pages 283-293
  16. Back Matter
    Pages 295-299

About this book

Introduction

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 analysis. Featuring perspectives from biology, computer science, and statistics, the volume explores machine learning methods such as clustering, feature selection, classification, data normalization, and missing value imputation, as well as the statistical analysis of the data and the most popular computer tools to analyze microarray data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will aid researchers in getting successful results. 

Cutting-edge and authoritative, Microarray Bioinformatics serves as an ideal guide for researchers and graduate students in bioinformatics, with basic knowledge in biology and computer science, and with a view to work with microarray datasets.

Keywords

DNA microarrays Datasets Data warehousing Machine learning Statistical analysis Computer science

Editors and affiliations

  • Verónica Bolón-Canedo
    • 1
  • Amparo Alonso-Betanzos
    • 2
  1. 1.CITICUniversidade da CoruñaA CoruñaSpain
  2. 2.CITICUniversidade da CoruñaA CoruñaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-9442-7
  • Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2019
  • Publisher Name Humana, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-9441-0
  • Online ISBN 978-1-4939-9442-7
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site