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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
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    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
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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