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Another simple explanation for the discrepancy between the data is that Akt2 expression levels are higher than Akt1 expression levels in fat, muscle and liver cells.
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What Sullivan illustrated is of course despite the perceived gulf between the spectacle and the data, is that both sides have something to learn from the other.
There could be differences in the correlation between the assays when the data is removed.
In general the agreement between the model and the data is very good.
If the distance between the median and the data is longer than k × dF, it belongs to the abnormal data.
"Now the data is somewhere between 8 and 40percentt, depending on the center and the ethnic mix".
Comparisons between the data are complicated by the fact that there are numerous data types as well as a mix of collection methods.
This algorithm uses only aggregated datasets from Census, and the missing crossings between the data are obtained through testing procedures.
The experiments were performed at least three times and the results were expressed as means ± S.D. Differences between the data were tested for statistical significance by t-test.
Strengths of the relationships between the data are indicated by correlation coefficient r, and the correlations between the data are shown by a regression line.
Significant differences between the data were analyzed according to the Welch test.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com