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The logic of this step is that the variability within a dataset consists of both experimental error and variability introduced by the biological variables of interest.
In footprint samples the mean difference between read density at 1.5 hr and 0 hr across transcripts = 28%, reflecting both experimental error and biological variation.
We estimated that the magnitude of mutational effects, X-chromosome wide, was approximately 1.4 times stronger in males than in females (1.06-2.14, a range that includes both experimental error and uncertainty around U).
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The model also includes effects imparted by both experimental error (extraction, PCR replicate) and the biology we wish to explore (strain, treatment, timepoint).
Uncertainties on the estimated emissions due to both propagation of the experimental error and interpolation have been quantified by bootstrap analysis as 6%.
Western blot experiments for both Apo A-IV and prothrombin were performed in triplicate to reduce experimental error and the mean was used in statistical analysis.
The center points were utilized to define the experimental error and the reproducibility of the data.
To further minimize experimental error and limit false positive results, three biological replica experiments were prepared and independently analyzed.
This new estimate also is subject to experimental error and does not include any genes whose transcription is conjugation specific.
In this case we define ψ ik as a product of experimental error and √2.
The senior investigator assumed it was an experimental error and repeated the experiments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com