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In order to determine this factor, regression equations were developed.
Others have introduced the concept of a biological scaling factor [ 32, 33] to compensate for variation in the RNA content of cells, including the use of spike-in controls to determine this factor.
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Erbe et al. [ 19] empirically determined this factor to be w ~ 0.9 for different traits in dairy cattle and for GEBV from a 50k SNP chip.
Lastly, considering the previously reported gender differences, we entered gender to determine whether this factor would be associated with MVPA time.
For our computational experiments, we use degrees of dynamism, Λ = { 0 %, 15%, 30 %, 45 %, 60 %, 75 %, 90 %, 1000 % }, to determine how this factor influences our results.
The factors which determine this variability are largely unknown, but genetic factors appear to be involved.
Two main factors determine this property.
The algorithm to determine this user-specific power scaling factor and actual CCE AL is illustrated using pseudocode below.
An important concept necessary to determine this probability is the Bayes factor (Kass and Raftery, 1995).
To determine the factors influencing this trend, this paper analyzed data from 11 countries of 2,337 American films released during 2000 201414.
Probably, there are other factors that determine this reduction.
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