Regularized estimation of large-scale gene association networks using graphical Gaussian models
<p>Abstract</p> <p>Background</p> <p>Graphical Gaussian models are popular tools for the estimation of (undirected) gene association networks from microarray data. A key issue when the number of variables greatly exceeds the number of samples is the estimation of the ma...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2009-11-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/10/384 |