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Microarray Data Analysis

  • Book
  • © 2022


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

Part of the book series: Methods in Molecular Biology (MIMB, volume 2401)

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About this book

This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. 

Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.

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Table of contents (19 protocols)

Editors and Affiliations

  • Dipartimento di Giurisprudenza, Economia e Sociologia, Università degli Studi “Magna Graecia” di Catanzaro, Catanzaro, Italy

    Giuseppe Agapito

Bibliographic Information

  • Book Title: Microarray Data Analysis

  • Editors: Giuseppe Agapito

  • Series Title: Methods in Molecular Biology

  • DOI:

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2022

  • Hardcover ISBN: 978-1-0716-1838-7Published: 14 December 2021

  • Softcover ISBN: 978-1-0716-1841-7Published: 15 December 2022

  • eBook ISBN: 978-1-0716-1839-4Published: 13 December 2021

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XI, 317

  • Number of Illustrations: 17 b/w illustrations, 54 illustrations in colour

  • Topics: Biological Techniques, Bioinformatics, Statistics, general

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