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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 12: Statistically Supported Identification of Tumor Subtypes
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Chapter title
Statistically Supported Identification of Tumor Subtypes
Chapter number 12
Book title
Cancer Bioinformatics
Published by
Humana Press, New York, NY, January 2019
DOI 10.1007/978-1-4939-8868-6_12
Pubmed ID
30378078
Book ISBNs
978-1-4939-8866-2, 978-1-4939-8868-6
Authors

Guoli Sun, Alexander Krasnitz, Sun, Guoli, Krasnitz, Alexander

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