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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 1: Introduction to Bioinformatics
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Citations

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Readers on

mendeley
230 Mendeley
Summary Dimensions citations
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Chapter title
Introduction to Bioinformatics
Chapter number 1
Book title
Microarray Bioinformatics
Published by
Humana, New York, NY, January 2019
DOI 10.1007/978-1-4939-9442-7_1
Pubmed ID
31115882
Book ISBNs
978-1-4939-9441-0, 978-1-4939-9442-7
Authors

Dilara Ayyildiz, Silvano Piazza

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 230 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 17%
Student > Bachelor 28 12%
Student > Ph. D. Student 23 10%
Researcher 21 9%
Professor 8 3%
Other 27 12%
Unknown 83 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 18%
Agricultural and Biological Sciences 32 14%
Computer Science 12 5%
Chemistry 8 3%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Other 42 18%
Unknown 87 38%

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