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Cancer Bioinformatics

Overview of attention for book
Cover of 'Cancer Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 A Primer for Access to Repositories of Cancer-Related Genomic Big Data
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    Chapter 2 Building Portable and Reproducible Cancer Informatics Workflows: An RNA Sequencing Case Study
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    Chapter 3 Computational Analysis of Structural Variation in Cancer Genomes
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    Chapter 4 CORE: A Software Tool for Delineating Regions of Recurrent DNA Copy Number Alteration in Cancer
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    Chapter 5 Identification of Mutated Cancer Driver Genes in Unpaired RNA-Seq Samples
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    Chapter 6 A Computational Protocol for Detecting Somatic Mutations by Integrating DNA and RNA Sequencing
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    Chapter 7 Allele-Specific Expression Analysis in Cancer Using Next-Generation Sequencing Data
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    Chapter 8 Computational Analysis of lncRNA Function in Cancer
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    Chapter 9 Computational Methods for Identification of T Cell Neoepitopes in Tumors
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    Chapter 10 Computational and Statistical Analysis of Array-Based DNA Methylation Data
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    Chapter 11 Computational Methods for Subtyping of Tumors and Their Applications for Deciphering Tumor Heterogeneity
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    Chapter 12 Statistically Supported Identification of Tumor Subtypes
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    Chapter 13 Computational Methods for Analysis of Tumor Clonality and Evolutionary History
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    Chapter 14 Predictive Modeling of Anti-Cancer Drug Sensitivity from Genetic Characterizations
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    Chapter 15 In Silico Oncology Drug Repositioning and Polypharmacology
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    Chapter 16 Modeling Growth of Tumors and Their Spreading Behavior Using Mathematical Functions
Attention for Chapter 3: Computational Analysis of Structural Variation in Cancer Genomes
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Chapter title
Computational Analysis of Structural Variation in Cancer Genomes
Chapter number 3
Book title
Cancer Bioinformatics
Published by
Humana Press, New York, NY, January 2019
DOI 10.1007/978-1-4939-8868-6_3
Pubmed ID
Book ISBNs
978-1-4939-8866-2, 978-1-4939-8868-6
Authors

Matthew Hayes, Hayes, Matthew

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Student > Master 2 22%
Student > Postgraduate 2 22%
Researcher 1 11%
Student > Ph. D. Student 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Agricultural and Biological Sciences 2 22%
Chemical Engineering 1 11%
Computer Science 1 11%
Engineering 1 11%
Other 0 0%
Unknown 1 11%