Network inference in matrix-variate Gaussian models with non-independent noise
Inferring a graphical model or network from observational data from a large number of variables is a well studied problem in machine learning and computational statistics. In this paper we consider a version of this problem that is relevant to the analysis of multiple phenotypes collected in genetic...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
2013
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