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This makes it difficult to interpret a conditional correlation graph of genes annotated to a pathway.
If W is observed in the tissue of several individuals, it is possible to estimate the conditional correlation structure of W by a conditional correlation graph.
To further illustrate the performance of the two-stage Bayesian models, we applied them to a series of simulated data sets with a conditional correlation coefficient of ρ D+ = 0.5 for the diseased and ρ D- = 0.4 for the nondiseased, as would typically be found in practice.
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The ALL-AML comparison (# of arrays: 916/534) shows for each pathway a distinct conditional correlation structure.
Partial correlation is a type of conditional correlation; it still cannot measure a nonlinear association [ 16, 17].
The CIT is comprised of a series of conditional correlation analyses that consider the possible directed relationships between a causal factor (genotype (G)), a potential mediator (methylation (M)) and an outcome (EOC status (Y)).
This study designs a generalized dynamic conditional correlation (DCC) model to examine three dynamic elements involved in the correlations between domestic and world stock markets.
This strategy is a simplification of conditional correlation analysis [28].
All these restriction impose a severe restrictions on interpretability and only allow a very coarse conclusion if a difference between two conditional correlation graphs is assessed: The dynamics are somehow distinct.
The pathways Cell cycle (04110) and Wnt signalling (04310) show in all except one comparison a significant difference in conditional correlation structure.
The copula function is estimated using a Gaussian copula-based dynamic conditional correlation matrix regression (DCCMR) model to describe the correlation among the errors.
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