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: eBook
Language: English
Published: New York, NY : Cambridge University Press, 2015.
Subjects:
ISBN: 9781316319499
1316319490
9781107706484
1107706483
9781680158908
1680158902
1107697573
9781107697577
1316329534
9781316329535
131633287X
9781316332870
1316326195
9781316326190
1316322858
9781316322857
1316309479
9781316309476
9781316316153
1316316157
9781107069114
1107069114
Physical Description: 1 online resource (x, 461 pages, 24 unnumbered pages of plates)

Cover

Table of contents

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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) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Genomics  |x Statistical methods. 
650 0 |a Meta-analysis. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Tseng, George,  |e editor. 
700 1 |a Ghosha, Debāśisa,  |e editor. 
700 1 |a Zhou, Xianghong Jasmine,  |e editor. 
776 0 8 |i Print version:  |t Integrating omics data  |z 9781107069114  |w (DLC) 2014048684  |w (OCoLC)902659955 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpIOD0001N/integrating-omics-data?kpromoter=marc  |y Full text