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Medical biostatistics for complex diseases / [edited by] Frank Emmert-Streib and Matthias Dehmer.

Contributor(s): Material type: TextTextPublication details: Weinheim : Wiley-Blackwell, ©2010.Description: xxviii, 383 pages. : illustrations (some color) ; 25 cmISBN:
  • 9783527325856
Subject(s): DDC classification:
  • 000SB:614.4 23 Em54
Contents:
Part I General biological and statistical basics -- 1. The Biology of MYC in health and disease: a high altitude view -- 2. Cancer stem cells: finding and capping the roots of cancer -- 3. Multiple testing methods -- Part II Statistical and computational analysis methods -- 4. Making mountains out of molehills: moving from single gene to pathway based models of colon cancer progression -- 5. Gene-set expression analysis: challenges and tools -- 6. Multivariate analysis of microarray data using Hotelling's T² test -- 7. Interpreting differential coexpression of gene sets -- 8. Multivariate analysis of microarray data: application of MANOVA -- 9. Testing significance of a class of genes -- 10. Differential dependency network analysis to identify topological changes in biological networks -- 11. An Introduction to time-varying connectivity estimation for gene regulatory networks -- 12. A Systems biology approach to construct a cancer-perturbed protein-protein interaction network for apoptosis by means of microarray and database mining -- 13. A New gene expression meta-analysis technique and its application to co-analyze three independent lung cancer datasets -- 14. Kernel classification methods for cancer microarray data -- 15. Predicting cancer survival using expression patterns -- 16. Integration of microarray datasets -- 17. Model averaging for biological networks with prior information.
Summary: A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SB:614.4 Em54 (Browse shelf(Opens below)) Available 137392
Total holds: 0

Includes bibliographical references and index.

Part I General biological and statistical basics --
1. The Biology of MYC in health and disease: a high altitude view --
2. Cancer stem cells: finding and capping the roots of cancer --
3. Multiple testing methods --
Part II Statistical and computational analysis methods --
4. Making mountains out of molehills: moving from single gene to pathway based models of colon cancer progression --
5. Gene-set expression analysis: challenges and tools --
6. Multivariate analysis of microarray data using Hotelling's T² test --
7. Interpreting differential coexpression of gene sets --
8. Multivariate analysis of microarray data: application of MANOVA --
9. Testing significance of a class of genes --
10. Differential dependency network analysis to identify topological changes in biological networks --
11. An Introduction to time-varying connectivity estimation for gene regulatory networks --
12. A Systems biology approach to construct a cancer-perturbed protein-protein interaction network for apoptosis by means of microarray and database mining --
13. A New gene expression meta-analysis technique and its application to co-analyze three independent lung cancer datasets --
14. Kernel classification methods for cancer microarray data --
15. Predicting cancer survival using expression patterns --
16. Integration of microarray datasets --
17. Model averaging for biological networks with prior information.

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries.

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