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COMPARATIVE ANALYSIS OF FALSE DISCOVERY RATE METHODS IN CONSTRUCTING METABOLIC ASSOCIATION NETWORKS
Gaussian graphical model (GGM)-based method, a key approach to reverse engineering biological networks, uses partial correlation to measure conditional dependence between two variables by controlling the contribution from other variables. After estimating partial correlation coefficients, one of the...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4144070/ https://ncbi.nlm.nih.gov/pubmed/25152043 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1142/S0219720014500188 |
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