Gaussian Graphical Model Selection for Gene Regulatory Network Reverse Engineering and Function Prediction
One of the most important and challenging ``knowledge extraction' tasks in bioinformatics is the reverse engineering of gene regulatory networks (GRNs) from DNA microarray gene expression data. Indeed, as a result of the development of high-throughput data-collection techniques, biology is expe...
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| Format: | Others |
| Language: | en |
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Universite Libre de Bruxelles
2009
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| Online Access: | http://theses.ulb.ac.be/ETD-db/collection/available/ULBetd-06302009-212720/ |