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Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana
We present a novel graphical Gaussian modeling approach for reverse engineering of genetic regulatory networks with many genes and few observations. When applying our approach to infer a gene network for isoprenoid biosynthesis in Arabidopsis thaliana, we detect modules of closely connected genes an...
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| Publicado no: | Genome Biol |
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| Main Authors: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC545783/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15535868/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/gb-2004-5-11-r92 |
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