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Title[redir]:
Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana - PMC
Description:
A novel approach for modeling gene-regulatory networks, based on graphical Gaussian modeling, is used to create a network for the isoprenoid biosynthesis pathway in Arabidopsis.
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Keywords {π}
genes, doi, pathways, pathway, data, network, additional, isoprenoid, correlation, edges, atg, approach, google, scholar, gene, graphical, pubmed, model, ggm, modeling, networks, biosynthesis, edge, expression, figure, file, mva, mep, ggpps, genetic, number, modified, graph, pairwise, regulatory, metabolic, candidate, models, plastoquinone, latent, random, Οijk, email, arabidopsis, downstream, conditional, aact, approaches, frequentist, pmc,
Topics {βοΈ}
long-term region-wide declines simulated scale-free networks log-scaled gene-expression values organ-specific expression profile 5-13c4]1-deoxy-d-xylulose predicting protein-protein interactions models grows super-exponentially dk/services/targetp friendly pmc beta search [google scholar] lauritzen [google scholar] benjamini [google scholar] ren signed-rank call algorithms [google scholar] friedman simulated gene-expression data complete data log-likelihood pairwise correlation-based relationships latent random graph latent random variable modeling gene-regulatory networks detect galactose-regulated genes license information pmcid binding-site study [34] partial correlation coefficient bayesian information criterion gal4p-binding sites 1-deoxy-d-xylulose false discovery rate supplementary materials included numerous spurious features statist soc ser genome-wide location full graphical models pairwise correlation coefficients regulatory control mechanisms computationally costly search genome mrna quantitation absolute pairwise correlation additional data file graphical gaussian modeling publisher site pdf unobserved graph encoded subcellular location http modified ggm approaches data availability statements dna binding proteins united states government massively parallel monitoring surprisingly frequent appearance columns depict hybridizations
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