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miRNomics: MicroRNA Biology and Computational Analysis

Overview of attention for book
miRNomics: MicroRNA Biology and Computational Analysis
Humana Press

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 1: Introduction to MicroRNAs in Biological Systems
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Citations

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Chapter title
Introduction to MicroRNAs in Biological Systems
Chapter number 1
Book title
miRNomics: MicroRNA Biology and Computational Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-62703-748-8_1
Pubmed ID
Book ISBNs
978-1-62703-747-1, 978-1-62703-748-8
Authors

Ayse Elif Erson-Bensan, Erson-Bensan, Ayse Elif

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 1%
Chile 1 1%
Mexico 1 1%
United States 1 1%
Unknown 91 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 15%
Student > Bachelor 13 14%
Student > Ph. D. Student 12 13%
Researcher 11 12%
Student > Doctoral Student 6 6%
Other 24 25%
Unknown 15 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 35%
Biochemistry, Genetics and Molecular Biology 15 16%
Computer Science 5 5%
Immunology and Microbiology 4 4%
Neuroscience 3 3%
Other 15 16%
Unknown 20 21%