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MicroRNA Cancer Regulation

Overview of attention for book
Cover of 'MicroRNA Cancer Regulation'

Table of Contents

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    Book Overview
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    Chapter 1 MicroRNAs in Human Cancer.
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    Chapter 2 Bioinformatics, Non-coding RNAs and Its Possible Application in Personalized Medicine
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    Chapter 3 MicroRNA Target Prediction and Validation
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    Chapter 4 MicroRNA-Regulated Networks: The Perfect Storm for Classical Molecular Biology, the Ideal Scenario for Systems Biology
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    Chapter 5 The p53/microRNA Network in Cancer: Experimental and Bioinformatics Approaches
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    Chapter 6 MicroRNAs in Melanoma Biology.
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    Chapter 7 MicroRNAs in the Lung
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    Chapter 8 The E2F1-miRNA Cancer Progression Network
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    Chapter 9 Modeling microRNA-Transcription Factor Networks in Cancer
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    Chapter 10 Coordinated Networks of microRNAs and Transcription Factors with Evolutionary Perspectives
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    Chapter 11 Mathematical modeling of microRNA-mediated mechanisms of translation repression
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    Chapter 12 Web Resources for microRNA Research
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    Chapter 13 Discovery of microRNA Regulatory Networks by Integrating Multidimensional High-Throughput Data.
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    Chapter 14 Discovering Functional microRNA-mRNA Regulatory Modules in Heterogeneous Data
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    Chapter 15 Elucidating the Role of microRNAs in Cancer Through Data Mining Techniques
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    Chapter 16 Working Together: Combinatorial Regulation by microRNAs
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    Chapter 17 Erratum
Attention for Chapter 9: Modeling microRNA-Transcription Factor Networks in Cancer
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Citations

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Chapter title
Modeling microRNA-Transcription Factor Networks in Cancer
Chapter number 9
Book title
MicroRNA Cancer Regulation
Published in
Advances in experimental medicine and biology, December 2012
DOI 10.1007/978-94-007-5590-1_9
Pubmed ID
Book ISBNs
978-9-40-075589-5, 978-9-40-075590-1
Authors

Baltazar D. Aguda

Editors

Ulf Schmitz, Olaf Wolkenhauer, Julio Vera

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Ph. D. Student 2 33%
Professor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 50%
Medicine and Dentistry 2 33%
Unknown 1 17%