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Cancer Epigenetics for Precision Medicine

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Cover of 'Cancer Epigenetics for Precision Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Early Epigenetic Markers for Precision Medicine
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    Chapter 2 Interplay Between Genetic and Epigenetic Changes in Breast Cancer Subtypes
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    Chapter 3 Role of Microbiome in Carcinogenesis Process and Epigenetic Regulation of Colorectal Cancer
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    Chapter 4 Epigenome-Based Precision Medicine in Lung Cancer
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    Chapter 4 Review on Current Trends of Deep Learning
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    Chapter 5 Epigenetics in Hematological Malignancies
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    Chapter 6 MicroRNAs Role in Prostate Cancer
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    Chapter 7 Effects of Dietary Nutrients on Epigenetic Changes in Cancer
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    Chapter 8 Diet, Microbiome, and Epigenetics in the Era of Precision Medicine
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    Chapter 9 Alcohol-Induced Epigenetic Changes in Cancer
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    Chapter 10 Epigenetic Basis of Circadian Rhythm Disruption in Cancer
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    Chapter 11 Epigenetic Changes of the Immune System with Role in Tumor Development
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    Chapter 12 DNA Methylation as a Biomarker of Aging in Epidemiologic Studies
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    Chapter 13 Challenges and Opportunities in Social Epigenomics and Cancer
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    Chapter 14 Epigenetic and Genetic Regulation of PDCD1 Gene in Cancer Immunology
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    Chapter 15 Methylation and MicroRNA Profiling to Understand Racial Disparities of Prostate Cancer
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    Chapter 16 Analysis of DNA Hypermethylation in Pancreatic Cancer Using Methylation-Specific PCR and Bisulfite Sequencing
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    Chapter 17 Pyrosequencing Methylation Analysis
Attention for Chapter 4: Review on Current Trends of Deep Learning
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Chapter title
Review on Current Trends of Deep Learning
Chapter number 4
Book title
Cancer Epigenetics for Precision Medicine
Published by
Springer, Cham, March 2019
DOI 10.1007/978-3-030-12500-4_4
Book ISBNs
978-1-4939-8750-4, 978-1-4939-8751-1, 978-3-03-012499-1, 978-3-03-012500-4
Authors

Stuti Mehla, Anjali Chaudhary, Raman Kumar, Mehla, Stuti, Chaudhary, Anjali, Kumar, Raman

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X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 8%
Lecturer 1 8%
Professor 1 8%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Other 2 17%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 2 17%
Linguistics 1 8%
Unspecified 1 8%
Neuroscience 1 8%
Engineering 1 8%
Other 0 0%
Unknown 6 50%