Integrating omics data /

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

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Tseng, George (Editor ), Ghosha, Debāśisa (Editor ), Zhou, Xianghong Jasmine (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Cambridge University Press, 2015.
Temas:
Genomics > Statistical methods.
Meta-analysis.
Genomics > methods
Génomique > Méthodes statistiques.
Méta-analyse.
SCIENCE > Life Sciences > Biochemistry.
Acceso en línea:Texto completo

MARC

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245 0 0 |a Integrating omics data /  |c edited by George Tseng, Debashis Ghosh, Xianghong Jasmine Zhou. 
264 1 |a New York, NY :  |b Cambridge University Press,  |c 2015. 
264 4 |c ©2015 
300 |a 1 online resource (x, 461 pages, 24 unnumbered pages of plates) 
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504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a 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. 
520 |a Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data. 
546 |a English. 
590 |a Knovel  |b ACADEMIC - Biochemistry, Biology & Biotechnology 
650 0 |a Genomics  |x Statistical methods. 
650 0 |a Meta-analysis. 
650 2 |a Genomics  |x methods 
650 6 |a Génomique  |x Méthodes statistiques. 
650 6 |a Méta-analyse. 
650 7 |a SCIENCE  |x Life Sciences  |x Biochemistry.  |2 bisacsh 
650 7 |a Genomics  |x Statistical methods.  |2 fast  |0 (OCoLC)fst00940232 
650 7 |a Meta-analysis.  |2 fast  |0 (OCoLC)fst01017463 
700 1 |a Tseng, George,  |e editor. 
700 1 |a Ghosha, Debāśisa,  |e editor. 
700 1 |a Zhou, Xianghong Jasmine,  |e editor. 
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