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Microarray Data Analysis

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Cover of 'Microarray Data Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 236 Bioinformatics and Microarray Data Analysis on the Cloud.
  3. Altmetric Badge
    Chapter 237 MetaMirClust: Discovery and Exploration of Evolutionarily Conserved miRNA Clusters.
  4. Altmetric Badge
    Chapter 238 Methods and Techniques for miRNA Data Analysis.
  5. Altmetric Badge
    Chapter 239 Normalization of Affymetrix miRNA Microarrays for the Analysis of Cancer Samples.
  6. Altmetric Badge
    Chapter 240 Classification and Clustering on Microarray Data for Gene Functional Prediction Using R
  7. Altmetric Badge
    Chapter 241 Using Semantic Similarities and csbl.go for Analyzing Microarray Data
  8. Altmetric Badge
    Chapter 242 Integrated Analysis of Transcriptomic and Proteomic Datasets Reveals Information on Protein Expressivity and Factors Affecting Translational Efficiency
  9. Altmetric Badge
    Chapter 245 Microarray Analysis in Glioblastomas
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    Chapter 246 Querying Co-regulated Genes on Diverse Gene Expression Datasets Via Biclustering
  11. Altmetric Badge
    Chapter 247 Analysis of microRNA Microarrays in Cardiogenesis.
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    Chapter 248 A Protocol to Collect Specific Mouse Skeletal Muscles for Metabolomics Studies
  13. Altmetric Badge
    Chapter 249 Ontology-Based Analysis of Microarray Data
  14. Altmetric Badge
    Chapter 250 Functional Analysis of microRNA in Multiple Myeloma.
  15. Altmetric Badge
    Chapter 252 Integrating Microarray Data and GRNs.
  16. Altmetric Badge
    Chapter 256 Erratum to: Classification and Clustering on Microarray Data for Gene Functional Prediction Using R
  17. Altmetric Badge
    Chapter 280 Analysis of Gene Expression Patterns Using Biclustering
  18. Altmetric Badge
    Chapter 284 Biological Network Inference from Microarray Data, Current Solutions, and Assessments.
Attention for Chapter 247: Analysis of microRNA Microarrays in Cardiogenesis.
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Chapter title
Analysis of microRNA Microarrays in Cardiogenesis.
Chapter number 247
Book title
Microarray Data Analysis
Published in
Methods in molecular biology, May 2015
DOI 10.1007/7651_2015_247
Pubmed ID
Book ISBNs
978-1-4939-3172-9, 978-1-4939-3173-6
Authors

Franco, Diego, Bonet, Fernando, Hernandez-Torres, Francisco, Lozano-Velasco, Estefania, Esteban, Francisco J, Aranega, Amelia E, Diego Franco, Fernando Bonet, Francisco Hernandez-Torres, Estefania Lozano-Velasco, Francisco J. Esteban, Amelia E. Aranega, Esteban, Francisco J., Aranega, Amelia E.

Abstract

microRNAs are a subclass of noncoding RNAs which have been demonstrated to play pivotal roles in multiple cellular mechanisms. microRNAs are small RNA molecules of 22-24 nt in length capable of modulating protein translation and/or RNA stability by base-priming with complementary sequences of the mRNAs, normally at the 3'untranslated region. To date, over 2,000 microRNAs have been already identified in humans, and orthologous microRNAs have been also identified in distinct animals and plants ranging a wide vast of species. High-throughput analyses by microarrays have become a gold standard to analyze the changes on microRNA expression in normal and pathological cellular or tissue conditions. In this chapter, we provide insights into the usage of this uprising technology in the context of cardiac development and disease.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Professor > Associate Professor 3 21%
Unspecified 1 7%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Other 2 14%
Unknown 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Agricultural and Biological Sciences 3 21%
Medicine and Dentistry 2 14%
Nursing and Health Professions 1 7%
Unspecified 1 7%
Other 2 14%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 May 2015.
All research outputs
#18,410,971
of 22,805,349 outputs
Outputs from Methods in molecular biology
#7,906
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Outputs of similar age
#192,004
of 264,461 outputs
Outputs of similar age from Methods in molecular biology
#12
of 21 outputs
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