![](https://assets.cambridge.org/97811084/32238/cover/9781108432238.jpg)
Book contents
- Frontmatter
- Dedication
- Contents
- List of Contributors
- Preface
- 1 From Genetic Data to Medicine: From DNA Samples to Disease Risk Prediction in Personalized Genetic Tests
- 2 Epigenetic Data and Disease
- 3 Introduction to Graph and Network Theory
- 4 Protein–Protein Interaction Data, their Quality, and Major Public Databases
- 5 Graphlets in Network Science and Computational Biology
- 6 Unsupervised Learning: Cluster Analysis
- 7 Machine Learning for Data Integration in Cancer Precision Medicine: Matrix Factorization Approaches
- 8 Machine Learning for Biomarker Discovery: Significant Pattern Mining
- 9 Network Alignment
- 10 Network Medicine
- 11 Elucidating Genotype-to-Phenotype Relationships via Analyses of Human Tissue Interactomes
- 12 Network Neuroscience
- 13 Cytoscape: A Tool for Analyzing and Visualizing Network Data
- 14 Analysis of the Signatures of Cancer Stem Cells in Malignant Tumors Using Protein Interactomes and the STRING Database
- Index
14 - Analysis of the Signatures of Cancer Stem Cells in Malignant Tumors Using Protein Interactomes and the STRING Database
Published online by Cambridge University Press: 18 March 2019
- Frontmatter
- Dedication
- Contents
- List of Contributors
- Preface
- 1 From Genetic Data to Medicine: From DNA Samples to Disease Risk Prediction in Personalized Genetic Tests
- 2 Epigenetic Data and Disease
- 3 Introduction to Graph and Network Theory
- 4 Protein–Protein Interaction Data, their Quality, and Major Public Databases
- 5 Graphlets in Network Science and Computational Biology
- 6 Unsupervised Learning: Cluster Analysis
- 7 Machine Learning for Data Integration in Cancer Precision Medicine: Matrix Factorization Approaches
- 8 Machine Learning for Biomarker Discovery: Significant Pattern Mining
- 9 Network Alignment
- 10 Network Medicine
- 11 Elucidating Genotype-to-Phenotype Relationships via Analyses of Human Tissue Interactomes
- 12 Network Neuroscience
- 13 Cytoscape: A Tool for Analyzing and Visualizing Network Data
- 14 Analysis of the Signatures of Cancer Stem Cells in Malignant Tumors Using Protein Interactomes and the STRING Database
- Index
Summary
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- Type
- Chapter
- Information
- Analyzing Network Data in Biology and MedicineAn Interdisciplinary Textbook for Biological, Medical and Computational Scientists, pp. 593 - 620Publisher: Cambridge University PressPrint publication year: 2019
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