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miRNomics: MicroRNA Biology and Computational Analysis

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Cover of 'miRNomics: MicroRNA Biology and Computational Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to MicroRNAs in Biological Systems
  3. Altmetric Badge
    Chapter 2 The Role of MicroRNAs in Biological Processes
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    Chapter 3 The Role of MicroRNAs in Human Diseases
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    Chapter 4 Introduction to bioinformatics.
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    Chapter 5 MicroRNA and Noncoding RNA-Related Data Sources
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    Chapter 6 High-Throughput Approaches for MicroRNA Expression Analysis.
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    Chapter 7 Introduction to Machine Learning
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    Chapter 8 Introduction to Statistical Methods for MicroRNA Analysis.
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    Chapter 9 Computational and Bioinformatics Methods for MicroRNA Gene Prediction
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    Chapter 10 Machine Learning Methods for MicroRNA Gene Prediction
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    Chapter 11 Functional, Structural, and Sequence Studies of MicroRNA
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    Chapter 12 Computational Methods for MicroRNA Target Prediction
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    Chapter 13 MicroRNA Target and Gene Validation in Viruses and Bacteria
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    Chapter 14 Gene Reporter Assay to Validate MicroRNA Targets in Drosophila S2 Cells.
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    Chapter 15 Computational Prediction of MicroRNA Function and Activity
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    Chapter 16 Analysis of MicroRNA Expression Using Machine Learning.
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    Chapter 17 MicroRNA Expression Landscapes in Stem Cells, Tissues, and Cancer
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    Chapter 18 Master Regulators of Posttranscriptional Gene Expression Are Subject to Regulation
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    Chapter 19 Use of MicroRNAs in Personalized Medicine
Attention for Chapter 12: Computational Methods for MicroRNA Target Prediction
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Citations

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Chapter title
Computational Methods for MicroRNA Target Prediction
Chapter number 12
Book title
miRNomics: MicroRNA Biology and Computational Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-748-8_12
Pubmed ID
Book ISBNs
978-1-62703-747-1, 978-1-62703-748-8
Authors

Hamid Hamzeiy, Jens Allmer, Malik Yousef, Hamzeiy, Hamid, Allmer, Jens, Yousef, Malik

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Turkey 1 <1%
Australia 1 <1%
Chile 1 <1%
Spain 1 <1%
Mexico 1 <1%
Unknown 107 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Student > Master 23 20%
Researcher 20 18%
Student > Doctoral Student 6 5%
Student > Bachelor 5 4%
Other 15 13%
Unknown 17 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 34%
Biochemistry, Genetics and Molecular Biology 23 20%
Medicine and Dentistry 12 11%
Computer Science 9 8%
Neuroscience 4 4%
Other 3 3%
Unknown 24 21%