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Microarray Bioinformatics

  • Book
  • © 2019

Overview

Editors:
  1. Verónica Bolón-Canedo

    1. CITIC, Universidade da Coruña, A Coruña, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Amparo Alonso-Betanzos

    1. CITIC, Universidade da Coruña, A Coruña, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Includes cutting-edge techniques
  • Provides step-by-step detail essential for reproducible results
  • Contains key implementation advice from the experts

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

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Table of contents (14 protocols)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction to Bioinformatics

    • Dilara Ayyildiz, Silvano Piazza
    Pages 1-15

  3. Protocol for DNA Microarrays on Glass Slides

    • Kathleen M. Eyster
    Pages 17-33

  4. Data Warehousing with TargetMine for Omics Data Analysis

    • Yi-An Chen, Lokesh P. Tripathi, Kenji Mizuguchi
    Pages 35-64

  5. A Review of Microarray Datasets: Where to Find Them and Specific Characteristics

    • Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández, Noelia Sánchez-Maroño
    Pages 65-85

  6. Statistical Analysis of Microarray Data

    • Ricardo Gonzalo Sanz, Alex Sánchez-Pla
    Pages 87-121

  7. Feature Selection Applied to Microarray Data

    • Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández, Borja Seijo-Pardo
    Pages 123-152

  8. Cluster Analysis of Microarray Data

    • Manuel Franco, Juana-María Vivo
    Pages 153-183

  9. Classification of Microarray Data

    • Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Beatriz Pérez-Sánchez
    Pages 185-205

  10. Microarray Data Normalization and Robust Detection of Rhythmic Features

    • Yolanda Larriba, Cristina Rueda, Miguel A. Fernández, Shyamal D. Peddada
    Pages 207-225

  11. HPC Tools to Deal with Microarray Data

    • Jorge González-Domínguez, Roberto R. Expósito
    Pages 227-243

  12. ROC Curves for the Statistical Analysis of Microarray Data

    • Ricardo Cao, Ignacio López-de-Ullibarri
    Pages 245-253

  13. Missing-Values Imputation Algorithms for Microarray Gene Expression Data

    • Kohbalan Moorthy, Aws Naser Jaber, Mohd Arfian Ismail, Ferda Ernawan, Mohd Saberi Mohamad, Safaai Deris
    Pages 255-266

  14. Computer Tools to Analyze Microarray Data

    • Giuseppe Agapito
    Pages 267-282

  15. Challenges and Future Trends for Microarray Analysis

    • Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Ignacio López-de-Ullibarri, Ricardo Cao
    Pages 283-293

  16. Back Matter

    Pages 295-299
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Keywords

About this book

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.

Editors and Affiliations

  • CITIC, Universidade da Coruña, A Coruña, Spain

    Verónica Bolón-Canedo, Amparo Alonso-Betanzos

Bibliographic Information

  • Book Title: Microarray Bioinformatics

  • Editors: Verónica Bolón-Canedo, Amparo Alonso-Betanzos

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-4939-9442-7

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2019

  • Hardcover ISBN: 978-1-4939-9441-0Published: 22 May 2019

  • Softcover ISBN: 978-1-4939-9444-1Published: 14 August 2020

  • eBook ISBN: 978-1-4939-9442-7Published: 21 May 2019

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: X, 299

  • Number of Illustrations: 8 b/w illustrations, 52 illustrations in colour

  • Topics: Bioinformatics, Microarrays, Genetics and Genomics

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