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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
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    Chapter 236 Bioinformatics and Microarray Data Analysis on the Cloud.
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    Chapter 237 MetaMirClust: Discovery and Exploration of Evolutionarily Conserved miRNA Clusters.
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    Chapter 238 Methods and Techniques for miRNA Data Analysis.
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    Chapter 239 Normalization of Affymetrix miRNA Microarrays for the Analysis of Cancer Samples.
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    Chapter 240 Classification and Clustering on Microarray Data for Gene Functional Prediction Using R
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    Chapter 241 Using Semantic Similarities and csbl.go for Analyzing Microarray Data
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    Chapter 242 Integrated Analysis of Transcriptomic and Proteomic Datasets Reveals Information on Protein Expressivity and Factors Affecting Translational Efficiency
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    Chapter 245 Microarray Analysis in Glioblastomas
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    Chapter 246 Querying Co-regulated Genes on Diverse Gene Expression Datasets Via Biclustering
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    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
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    Chapter 249 Ontology-Based Analysis of Microarray Data
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    Chapter 250 Functional Analysis of microRNA in Multiple Myeloma.
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    Chapter 252 Integrating Microarray Data and GRNs.
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    Chapter 256 Erratum to: Classification and Clustering on Microarray Data for Gene Functional Prediction Using R
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    Chapter 280 Analysis of Gene Expression Patterns Using Biclustering
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    Chapter 284 Biological Network Inference from Microarray Data, Current Solutions, and Assessments.
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Title
Microarray Data Analysis
Published by
Humana Press, January 2016
DOI 10.1007/978-1-4939-3173-6
ISBNs
978-1-4939-3173-6, 978-1-4939-3172-9
Editors

Pietro Hiram Guzzi

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
Medicine and Dentistry 1 100%