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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 4: MicroRNA-Regulated Networks: The Perfect Storm for Classical Molecular Biology, the Ideal Scenario for Systems Biology
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Citations

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Readers on

mendeley
11 Mendeley
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3 CiteULike
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Chapter title
MicroRNA-Regulated Networks: The Perfect Storm for Classical Molecular Biology, the Ideal Scenario for Systems Biology
Chapter number 4
Book title
MicroRNA Cancer Regulation
Published in
Advances in experimental medicine and biology, December 2012
DOI 10.1007/978-94-007-5590-1_4
Pubmed ID
Book ISBNs
978-9-40-075589-5, 978-9-40-075590-1
Authors

Julio Vera, Xin Lai, Ulf Schmitz, Olaf Wolkenhauer

Editors

Ulf Schmitz, Olaf Wolkenhauer, Julio Vera

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 27%
Researcher 2 18%
Student > Master 2 18%
Other 1 9%
Librarian 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 36%
Biochemistry, Genetics and Molecular Biology 3 27%
Computer Science 1 9%
Social Sciences 1 9%
Medicine and Dentistry 1 9%
Other 0 0%
Unknown 1 9%