In this study, the variation was captured by the interaction between replicate sample sizes of 1000 cells (250 cells) and gene, BG.
The nature of the interaction between replicating HIV-1 and the cellular RNAi pathway has been controversial, but it is clear that it can be complex and multifaceted.
The ANOVA model included treatments, time-points, biological replicates and the interaction between treatments and time-points as fixed effects.
Fixed effects in the model were herbicide treatment, replicate experiment, and state while random variables included population nested within state and the interaction between population and herbicide treatment.
The differences found are attributed to the difference in selection pressures, the replicate population and the interaction between these two factors.
Because of the lack of interaction between replicate testing blocks and mixture dose, and the significant main effect of replicate block, we conducted all additional analyses on the motor activity counts expressed as percentage of block control values.
Using this data a general linear model was used to test the effects of replicate, treatment, height class and the interaction between height class and treatment on transformed mortality.
To test whether exon length and abundance, and the interaction between them contribute to differences in detection among technical replicates a logistic regression model was used.
Our study focused on the interaction between this virus and immunocytes and indicated that this virus has the ability to replicate in CD14+ cells.
Our study did not replicate the interaction between GSTM1 and SE in spite of the sufficient power and multiple tests for interaction.
