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Analysis of Microarray Data
- Publication Year:
- 2008
- Edition:
- 1st
- Author:
- Dehmer, Matthias; Emmert-Streib, Frank
- Publisher:
- Wiley
- ISBN:
- 978-3-52-731822-3
-
Description
-
Details
Description
The first book to focus on the application of mathematical networks for analyzing microarray data.
Analyzing microarray data goes well beyond the standard clustering methods traditionally used. The book is for both, scientists using the technique as well as those developing new analysis techniques.
Contents include:
Analyzing microarray data goes well beyond the standard clustering methods traditionally used. The book is for both, scientists using the technique as well as those developing new analysis techniques.
Contents include:
- 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
Details
- Platform:
- OvidSP
- Publisher:
- Wiley
- Product Type:
- Book
- Author:
- Dehmer, Matthias; Emmert-Streib, Frank
- ISBN:
- 978-3-52-731822-3
- Specialty:
-
- Bioinformatics
- Language:
- English
- Edition:
- 1st
- Pages:
- 438
- Publication Year:
- 2008