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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | 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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