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Microarray Data Analysis

Methods and Applications

  • Pietro Hiram Guzzi

Part of the Methods in Molecular Biology book series (MIMB, volume 1375)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Francesca Cristiano, Pierangelo Veltri
    Pages 11-23
  3. Barbara Calabrese, Mario Cannataro
    Pages 25-39
  4. Liliana López Kleine, Rosa Montaño, Francisco Torres-Avilés
    Pages 41-54
  5. Mehmet Deveci, Onur Küçüktunç, Kemal Eren, Doruk Bozdağ, Kamer Kaya, Ümit V. Çatalyürek
    Pages 55-74
  6. Swarup Roy, Dhruba K. Bhattacharyya, Jugal K. Kalita
    Pages 91-103
  7. Agapito Giuseppe, Marianna Milano
    Pages 117-121
  8. L. Koumakis, G. Potamias, M. Tsiknakis, M. Zervakis, V. Moustakis
    Pages 137-153
  9. Zhuohui Gan, Zhenxing Fu, Jennifer C. Stowe, Frank L. Powell, Andrew D. McCulloch
    Pages 169-179
  10. Maria Teresa Di Martino, Nicola Amodio, Pierfrancesco Tassone, Pierosandro Tagliaferri
    Pages 181-194
  11. Kaumudi M. Bhawe, Manish K. Aghi
    Pages 195-206
  12. Diego Franco, Fernando Bonet, Francisco Hernandez-Torres, Estefania Lozano-Velasco, Francisco J. Esteban, Amelia E. Aranega
    Pages 207-221
  13. Liliana López Kleine, Rosa Montaño, Francisco Torres-Avilés
    Pages 223-223
  14. Back Matter
    Pages 225-226

About this book

Introduction

This volume covers a large area, from the description of methodologies for data analysis to the real application. Chapters focus on methodologies for preprocessing of microarray data, a survey of miRNA Data analysis, Cloud-based approaches, application of data mining techniques for data analysis, biclustering to query different datasets, web-based tool to analyze the evolution of miRNA clusters,  application of biclustering to mine patterns of co-regulated genes ontologies, microarray  and proteomic Data, Gene Regulatory Network Inference, Gene Regulatory Network methods, analysis of Mouse data for metabolomics studies, analysis of microRNA data in Multiple Myeloma, microarray data analysis in Gliobastomas, and microRNA data in Cardiogenesis.Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

 

Authoritative and practical, Microarray Data Analysis: Methods and Applications, Second Edition aims to ensure successful results in the further study of this vital field.

Keywords

Cloud-based approaches Multiple Myeloma co-regulated genes metabolomics miRNA Data miRNA clusters microarray data omic world ontologies proteomic

Editors and affiliations

  • Pietro Hiram Guzzi
    • 1
  1. 1.Department of Surgical and Medical SciencesUniversity “Magna Græcia” of CatanzaroCatanzaroItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-3173-6
  • Copyright Information Springer Science+Business Media New York 2016
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-3172-9
  • Online ISBN 978-1-4939-3173-6
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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