This experiment tested for a differing effect on tester populations due to differing cell densities in neighbouring inducer populations.
Data of heterokaryon Set 1 and Set 2 were used to assess the significance of the tester effect.
The purpose is also to recover the information of the entries that are grown in the same locations but using different testers (e.g. in Cycle1 location G-L4 and the Polish locations P-L1 to P-L4), so that we captured the effect of the tester in the shared locations.
On top of that, new products often still need the kinks worked out, so early users serve, in effect, as beta testers.
This number ignores the effects of other tester specifications and activities such as verifying outputs or changing stimulus data or direction on the fly.
Further, the observed differences in the splicing patterns among the analyzed genotypes were probably diluted by the effects of common tester alleles.
We controlled for tester effects (two for each region), baseline level of the outcomes, sex, and a second order polynomial in age, which was chosen considering the fit of the data.
The effects of the tester, particularly where tests are not computer-administered, may be important, not only because of different interactions with different subjects but also because of the examiner's variable moods, motivation, levels of fatigue, and tendency to introduce systematic errors into the testing procedure.
Two-factor variance analysis were performed to the NCII population to calculated the effects of DHs, testers and DHs × testers.
This physical signal is most probably of electromagnetic nature since the effect disappeared when shielding tester populations against electromagnetic signals assumed to be emitted by inducer populations.
