Gene Network Inference : Verification of Methods for Systems Genetics Data /
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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| Edition: | 1st ed. 2013. |
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Table of Contents:
- Simulation of the Benchmark Datasets
- A Panel of Learning Methods for the Reconstruction of Gene Regulatory Networks in a Systems Genetics Context
- Benchmarking a simple yet effective approach for inferring gene regulatory networks from systems genetics data
- Differential Equation based reverse-engineering algorithms: pros and cons
- Gene regulatory network inference from systems genetics data using tree-based methods
- Extending partially known networks
- Integration of genetic variation as external perturbation to reverse engineer regulatory networks from gene expression data
- Using Simulated Data to Evaluate Bayesian Network Approach for Integrating Diverse Data.