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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 9: Microarray Data Normalization and Robust Detection of Rhythmic Features
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Citations

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Chapter title
Microarray Data Normalization and Robust Detection of Rhythmic Features
Chapter number 9
Book title
Microarray Bioinformatics
Published by
Humana, New York, NY, January 2019
DOI 10.1007/978-1-4939-9442-7_9
Pubmed ID
31115890
Book ISBNs
978-1-4939-9441-0, 978-1-4939-9442-7
Authors

Yolanda Larriba, Cristina Rueda, Miguel A. Fernández, Shyamal D. Peddada

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Student > Master 2 29%
Researcher 1 14%
Student > Ph. D. Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 14%
Mathematics 1 14%
Computer Science 1 14%
Unknown 2 29%

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