Integrating omics data

Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.

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Bibliographic Details
Other Authors Tseng, George (Editor), Ghosha, Debāśisa (Editor), Zhou, Xianghong Jasmine (Editor)
Format Electronic eBook
LanguageEnglish
Published New York, NY : Cambridge University Press, 2015.
Subjects
Genomics > Statistical methods.
Meta-analysis.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781316319499
1316319490
9781107706484
1107706483
9781680158908
1680158902
1107697573
9781107697577
1316329534
9781316329535
131633287X
9781316332870
1316326195
9781316326190
1316322858
9781316322857
1316309479
9781316309476
9781316316153
1316316157
9781107069114
1107069114
Physical Description1 online resource (x, 461 pages, 24 unnumbered pages of plates)

Cover

Table of Contents:
  • Cover
  • Half title
  • Title
  • Copyright
  • Contents
  • Contributors
  • Introduction
  • Part A: Horizontal Meta-Analysis
  • 1. Meta-Analysis of Genome-Wide Association Studies: A Practical Guide
  • 2. MetaOmics: Transcriptomic Meta-Analysis Methods for Biomarker Detection, Pathway Analysis and Other Exploratory Purposes
  • 3. Integrative Analysis of Many Biological Networks to Study Gene Regulation
  • 4. Network Integration of Genetically Regulated Gene Expression to Study Complex Diseases
  • 5. Integrative Analysis of Multiple ChIP-X Data Sets Using Correlation Motifs
  • 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)
  • 12. eQTL and Directed Graphical Model
  • 13. MicroRNAs: Target Prediction and Involvement in Gene Regulatory Networks
  • 14. Integration of Cancer Omics Data into a Whole-Cell Pathway Model for Patient-Specific Interpretation
  • 15. Analyzing Combinations of Somatic Mutations in Cancer Genomes
  • 16. A Mass-Action-Based Model for Gene Expression Regulation in Dynamic Systems
  • 17. From Transcription Factor Binding and Histone Modification to Gene Expression: Integrative Quantitative Models
  • 18. Data Integration on Noncoding RNA Studies
  • 19. Drug-Pathway Association Analysis: Integration of High-Dimensional Transcriptional and Drug Sensitivity Profile.

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