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Brink, Benedikt: Omics visualization and its application to presymptomatic diagnosis of oral cancer. 2018
Inhalt
Dedication
Abstract
Zusammenfassung
Publications
Acknowledgments
Contents
List of Figures
List of Tables
Acronyms
Data Mining and Visualization
1 Introduction
1.1 A brief history of data and visualization
1.2 Designing a visualization
1.2.1 What is to be visualized
1.2.2 Why visualize it
1.2.3 How to visualize it
2 Thesis overview
2.1 Motivation of the thesis
2.2 Structure of the thesis
3 A mnemonic card game for your amino acids
3.1 Background
3.2 Related work
3.3 Methodology
3.4 The problem
3.5 The solution
3.5.1 Process for developing the solution
3.5.2 Visual encoding
3.5.3 Key milestones
3.6 Results
3.7 Discussion
Presymptomatic Diagnosis of Oral Cancer
4 Biological background
4.1 Diversity and dynamics of cancer
4.1.1 Mutations
4.1.2 Copy number aberrations
4.1.3 Allelic imbalance
4.1.4 Cancer precursors
4.1.5 Oral cancer
4.2 Detecting allelic imbalances
4.2.1 Amplifying DNA
4.2.2 Digital PCR
4.2.3 Droplet digital PCR
4.3 Detecting CNAs with ddPCR
5 The ddPCRclust package
5.1 Related work
5.2 Problem statement
5.3 Methods
5.3.1 Input data
5.3.2 Step 1: Clustering
5.3.3 Step 2: Cluster labeling
5.3.4 Step 3: Rain allocation
5.3.5 Step 4: CPDs calculation
6 ddPCRclust Results
6.1 Results
6.2 Discussion
6.3 Outlook
7 The Visual Interface ddPCRvis
7.1 Implementation
7.1.1 Structure of a Shiny application
7.1.2 Reactive programming
7.2 The web interface
7.2.1 Upload files
7.2.2 Clustering
7.2.3 Edit clustering
7.2.4 Counts
7.2.5 CPDs
7.2.6 Result
7.2.7 Dynamic help system
7.3 Discussion
7.4 Outlook
Omics Fusion — A Platform for Integrative Analysis of Omics Data
8 Introducing Omics Fusion
8.1 Motivation
8.2 Omics techniques
8.2.1 Genomics
8.2.2 Transcriptomics
8.2.3 Proteomics
8.2.4 Metabolomics
8.3 Related work
8.4 Implementation
8.5 Functionality
8.5.1 Data manipulation
8.5.2 Data analysis
8.5.3 Visualization methods
8.5.4 Pathway map
9 Visualization of functional annotation data
9.1 Functional annotation
9.1.1 Gene Ontology
9.1.2 Clusters of Orthologous Groups
9.2 Semantic reasoner
9.3 The visualization
9.3.1 Box-and-whisker plots
9.3.2 COG/GO box plots
9.4 Discussion
9.5 Outlook
10 Conclusion
Quote
Individual Contributions
Bibliography
Colophon