1. Edition - April 2010
99.90 Euro
2010. XXVIII, 384 Pages, Hardcover
88 Fig. (42 Colored Fig.), 36 Tab. 
- Practical Approach Book -
ISBN-10: 3-527-32585-9
ISBN-13: 978-3-527-32585-6 - Wiley-VCH, Weinheim






Content

Sample Chapter



Short description
This practical approach gives a comprehensive overview of cutting-edge methods for the analysis of high-throughput data generated through screening for complex diseases like cancer and cardiovascular diseases.

From the contents
Preface (Emmert-Streib and Dehmer)
GENERAL BIOLOGICAL AND STATISTICAL BASICS
The biology of MYC in health and disease: a high altitude view (Turner, Bird and Refaeli)
Cancer Stem Cells ? Finding and Hitting the Roots of Cancer (Buss and Ho)
Multiple Testing Methods (Farcomeni)
STATISTICAL AND COMPUTATIONAL ANALYSIS METHODS
Making Mountains Out of Molehills: Moving from Single Gene to Pathway Based Models of Colon Cancer Progression (Edelman, Garman, Potti, Mukherjee)
Gene-Set Expression Analysis: Challenges and Tools (Oron)
Hotelling?s T-2 multivariate profiling for detecting differential expression in microarrays (Lu, Liu, Deng)
Interpreting differential coexpression of gene sets (Ju Han Kim, Sung Bum Cho, Jihun Kim)
Multivariate analysis of microarray data: Application of MANOVA (Hwang and Park)
Testing Significance of a Class of Genes (Chen and Tsai)
Differential dependency network analysis to identify topological changes in biological networks (Zhang, Li, Clarke, Hilakivi-Clarke and Wang)
An Introduction to Time-Varying Connectivity Estimation for Gene Regulatory Networks (Fujita, Sato, Almeida Demasi, Miyano, Cleide Sogayar, and Ferreira)
A systems biology approach to construct a cancer-perturbed protein-protein interaction network for apoptosis by means of microarray and database mining (Chu and Chen)
NN, title not confirmed (Fishel, Ruppin)
Kernel Classification Methods for Cancer Microarray Data (Kato and Fujibuchi)
Predicting Cancer Survival Using Expression Patterns (Reddy, Kronek, Brannon, Seiler, Ganesan, Rathmell, Bhanot)
Integration of microarray data sets (Kim and Rha)
Model Averaging For Biological Networks With Prior Information (Mukherjeea, Speed and Hill)