Analysis of Microarray Data

Description

This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used.

From the contents:

Understanding and Preprocessing Microarray Data
Clustering of Microarray Data
Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order
Bilayer Verification Algorithm
Probabilistic Boolean Networks as Models for Gene Regulation
Estimating Transcriptional Regulatory Networks by a Bayesian Network
Analysis of Therapeutic Compound Effects
Statistical Methods for Inference of Genetic Networks and Regulatory Modules
Identification of Genetic Networks by Structural Equations
Predicting Functional Modules Using Microarray and Protein Interaction Data
Integrating Results from Literature Mining and Microarray Experiments to Infer Gene Networks
The book is for both, scientists using the technique as well as those developing new analysis techniques.

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1. Ebooks list page : 2645
2. DNA Microarray Data Analysis
3. Guide to Analysis of DNA Microarray Data
4. Methods of Microarray Data Analysis II
5. A Practical Approach to Microarray Data Analysis
6. A Biologist's Guide to Analysis of DNA Microarray Data
7. "A Practical Approach to Microarray Data Analysis"
8. Microarray Gene Expression Data Analysis
9. Steen Knudsen, A Biologist’s Guide to Analysis of DNA Microarray Data
10. Analysis of Microarray Gene Expression Data (Trends in Logic S.)
11. Steen Knudsen, A Biologist’s Guide to Analysis of DNA Microarray Data
12. Steen Knudsen, A Biologist’s Guide to Analysis of DNA Microarray Data
13. Advanced Analysis of Gene Expression Microarray Data (2006)
14. Statistical Analysis of Gene Expression Microarray Data by Terry Speed
15. Statistical Analysis of Gene Expression Microarray Data by Terry Speed
16. Advanced Analysis of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics)