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Medical Biostatistics for Complex Diseases 1st Edition by Frank Emmert Streib, Matthias Dehmer ISBN 3527325859 9783527325856

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Medical Biostatistics for Complex Diseases 1st Edition Frank Emmert-Streib Digital Instant Download

Author(s): Frank Emmert-Streib, Matthias Dehmer
ISBN(s): 9783527325856, 3527325859
Edition: 1
File Details: PDF, 5.36 MB
Year: 2010
Language: english
SKU: EB-2502930 Category: Tags: ,

Medical Biostatistics for Complex Diseases 1st Edition by Frank Emmert-Streib, Matthias Dehmer – Ebook PDF Instant Download/Delivery: 3527325859, 9783527325856

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Product details:

ISBN 10: 3527325859

ISBN 13: 9783527325856 

Author: Frank Emmert-Streib, Matthias Dehmer

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. They are characterized by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.

Table of contents:

  1. General Biological And Statistical Basics

  2. The Biology of MYC in Health and Disease: A High Altitude View

  3. Cancer Stem Cells? Finding and Hitting the Roots of Cancer

  4. Multiple Testing Methods

  5. Statistical And Computational Analysis Methods

  6. Making Mountains Out of Molehills: Moving from Single Gene to Pathway Based Models of Colon Cancer Progression

  7. Gene-Set Expression Analysis: Challenges and Tools

  8. Hotelling’s T-2 Multivariate Profiling for Detecting Differential Expression in Microarrays

  9. Interpreting Differential Coexpression of Gene Sets

  10. Multivariate Analysis of Microarray Data: Application of MANOVA

  11. Testing Significance of a Class of Genes

  12. Differential Dependency Network Analysis to Identify Topological Changes in Biological Networks

  13. An Introduction to Time-Varying Connectivity Estimation for Gene Regulatory Networks

  14. A Systems Biology Approach to Construct a Cancer-Perturbed Protein-Protein Interaction Network for Apoptosis by Means of Microarray and Database Mining

  15. NN, Title Not Confirmed

  16. Kernel Classification Methods for Cancer Microarray Data

  17. Predicting Cancer Survival Using Expression Patterns

  18. Integration of Microarray Data Sets

  19. Model Averaging For Biological Networks With Prior Information

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Tags: Frank Emmert Streib, Matthias Dehmer, Medical, Biostatistics, Complex, Diseases