Book contents
- Frontmatter
- Contents
- Contributors
- Introduction
- Part A Horizontal Meta-Analysis
- Part B Vertical Integrative Analysis (General Methods)
- 6 Identify Multi-Dimensional Modules from Diverse Cancer Genomics Data
- 7 A Latent Variable Approach for Integrative Clustering of Multiple Genomic Data Types
- 8 Penalized Integrative Analysis of High-Dimensional Omics Data
- 9 A Bayesian Graphical Model for Integrative Analysis of TCGA Data: BayesGraph for TCGA Integration
- 10 Bayesian Models for Flexible Integrative Analysis of Multi-Platform Genomics Data
- 11 Exploratory Methods to Integrate Multisource Data
- Part C Vertical Integrative Analysis (Methods Specialized to Particular Data Types)
- Index
- Color plates
10 - Bayesian Models for Flexible Integrative Analysis of Multi-Platform Genomics Data
from Part B - Vertical Integrative Analysis (General Methods)
Published online by Cambridge University Press: 05 September 2015
- Frontmatter
- Contents
- Contributors
- Introduction
- Part A Horizontal Meta-Analysis
- Part B Vertical Integrative Analysis (General Methods)
- 6 Identify Multi-Dimensional Modules from Diverse Cancer Genomics Data
- 7 A Latent Variable Approach for Integrative Clustering of Multiple Genomic Data Types
- 8 Penalized Integrative Analysis of High-Dimensional Omics Data
- 9 A Bayesian Graphical Model for Integrative Analysis of TCGA Data: BayesGraph for TCGA Integration
- 10 Bayesian Models for Flexible Integrative Analysis of Multi-Platform Genomics Data
- 11 Exploratory Methods to Integrate Multisource Data
- Part C Vertical Integrative Analysis (Methods Specialized to Particular Data Types)
- Index
- Color plates
Summary
- Type
- Chapter
- Information
- Integrating Omics Data , pp. 221 - 241Publisher: Cambridge University PressPrint publication year: 2015
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