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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
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    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 3: The Role of MicroRNAs in Human Diseases
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Citations

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332 Mendeley
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Chapter title
The Role of MicroRNAs in Human Diseases
Chapter number 3
Book title
miRNomics: MicroRNA Biology and Computational Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-748-8_3
Pubmed ID
Book ISBNs
978-1-62703-747-1, 978-1-62703-748-8
Authors

Kemal Uğur Tüfekci, Meryem Gülfem Öner, Ralph Leo Johan Meuwissen, Şermin Genç, Tüfekci, Kemal Uğur, Öner, Meryem Gülfem, Meuwissen, Ralph Leo Johan, Genç, Şermin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 332 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Italy 1 <1%
Argentina 1 <1%
Egypt 1 <1%
Unknown 328 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 68 20%
Student > Bachelor 47 14%
Student > Master 35 11%
Researcher 28 8%
Student > Doctoral Student 19 6%
Other 42 13%
Unknown 93 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 100 30%
Medicine and Dentistry 39 12%
Agricultural and Biological Sciences 38 11%
Chemistry 12 4%
Pharmacology, Toxicology and Pharmaceutical Science 11 3%
Other 33 10%
Unknown 99 30%