By Frank Emmert-Streib, Matthias Dehmer
This publication is the 1st to target the applying of mathematical networks for interpreting microarray info. this technique is going well past the traditional clustering tools typically used.
From the contents:
- Understanding and Preprocessing Microarray information
- Clustering of Microarray info
- Reconstruction of the Yeast telephone Cycle by means of Partial Correlations of upper Order
- Bilayer Verification set of rules
- Probabilistic Boolean Networks as types for Gene law
- Estimating Transcriptional Regulatory Networks through a Bayesian community
- Analysis of healing Compound results
- Statistical tools for Inference of Genetic Networks and Regulatory Modules
- Identification of Genetic Networks by means of Structural Equations
- Predicting useful Modules utilizing Microarray and Protein interplay information
- Integrating effects from Literature Mining and Microarray Experiments to deduce Gene Networks
The ebook is for either, scientists utilizing the process in addition to these constructing new research options.
Read Online or Download Analysis of Microarray Data: A Network-Based Approach PDF
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Additional resources for Analysis of Microarray Data: A Network-Based Approach
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