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Microarray Bioinformatics

Overview of attention for book
Cover of 'Microarray Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Bioinformatics
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    Chapter 2 Protocol for DNA Microarrays on Glass Slides
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    Chapter 3 Data Warehousing with TargetMine for Omics Data Analysis
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    Chapter 4 A Review of Microarray Datasets: Where to Find Them and Specific Characteristics
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    Chapter 5 Statistical Analysis of Microarray Data
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    Chapter 6 Feature Selection Applied to Microarray Data
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    Chapter 7 Cluster Analysis of Microarray Data
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    Chapter 8 Classification of Microarray Data
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    Chapter 9 Microarray Data Normalization and Robust Detection of Rhythmic Features
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    Chapter 10 HPC Tools to Deal with Microarray Data
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    Chapter 11 ROC Curves for the Statistical Analysis of Microarray Data
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    Chapter 12 Missing-Values Imputation Algorithms for Microarray Gene Expression Data
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    Chapter 13 Computer Tools to Analyze Microarray Data
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    Chapter 14 Challenges and Future Trends for Microarray Analysis
Attention for Chapter 6: Feature Selection Applied to Microarray Data
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Citations

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Chapter title
Feature Selection Applied to Microarray Data
Chapter number 6
Book title
Microarray Bioinformatics
Published by
Humana, New York, NY, January 2019
DOI 10.1007/978-1-4939-9442-7_6
Pubmed ID
31115887
Book ISBNs
978-1-4939-9441-0, 978-1-4939-9442-7
Authors

Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Laura Morán-Fernández, Borja Seijo-Pardo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Student > Ph. D. Student 2 20%
Researcher 2 20%
Other 1 10%
Student > Doctoral Student 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 2 20%
Agricultural and Biological Sciences 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Medicine and Dentistry 1 10%
Engineering 1 10%
Other 0 0%
Unknown 4 40%

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