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The Gaussian graphical model is a widely used tool for learning gene regulatory networks with high-dimensional gene expression data. For many real problems, the data are heterogeneous, which may contain some subgroups or come from different resources. This package provide a Gaussian Graphical Mixture Model (GGMM) for the heterogeneous data. You can refer to Jia, B. and Liang, F. (2018) at <arXiv:1805.02547> for detail.
Package details |
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Author | Bochao Jia [aut, ctb, cre, cph], Faming Liang [ctb] |
Maintainer | Bochao Jia <jbc409@gmail.com> |
License | GPL-2 |
Version | 1.0.1 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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