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In each dataset 'bait' and 'target' genes are considered separately, because in each case a different number of possible interactions is tested.
The total model improvement by adding the set of interactions is tested with the appropriate degrees of freedom.
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The significance of independent variables and their interactions were tested by analysis of variance (ANOVA).
Putative interactions are tested rigorously for replication and for biological plausibility.
Possible interactions were tested.
Multi-collinearity and interactions were tested.
All combinations of variables, with and without interactions were tested.
Potential interactions were tested, and the Hosmer Lemeshow goodness of fit and c-statistics were calculated.
Thirty of these interactions were tested experimentally, and 23 new drug-target associations were confirmed.
The significance of independent variables and their interactions were tested by the analysis of variance and t test statistics.
Interactions were tested in the model; variables strongly associated with other(s) were not included in the multivariate analysis.
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