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The rate of correlation between these two methods is as follows: (r) = 0·9269 with a regression formula y = 0·9127 x – 0·4601, obtained from a linear regression analysis of the data.
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Based on the fact that the transcriptome exhibits high rates of correlation between transcripts [ 26], this analysis groups the QTTs associated with each trait into clusters (modules) of genetically correlated transcripts.
We have previously described a model of the natural history of rotavirus infection using TreeAge 2008 software (Williamstown, MA), which captures details such as the age-specific risk, probability of asymptomatic cases, rate of reinfection, correlation between strength of natural immunity and the total number of previous infections, and waning of vaccine efficacy [ 16].
We first developed a state-transition model of rotavirus infection, which captures detailed natural history such as the age-specific incidence, probability of asymptomatic cases, rate of reinfection, correlation between strength of natural immunity and the total number of previous infections, and waning of vaccine efficacy [ 16].
We have also applied an improved resampling procedure to the analysis of correlation between rates and expression levels of connected proteins.
Published enquiries have largely been limited to seeking the level of correlation between rating scores and hospital quality of care metrics [ 19, 20].
It is possible, of course, that the lack of correlation between evolutionary rate and recombination is a false negative.
Neuroscientists make use of measures of correlation between firing rates, rather than between membrane potentials, to study cross-neuron communication.
In some cases there was a lack of correlation between growth rates at high temperatures in vitro and the prevalence of a particular species in the Baths.
The lack of correlation between recombination rates and genetic distances parallels a previous study that detected no correlation between recombination rates and A. thaliana sequence polymorphism [ 31].
The lack of correlation between the rates of repair and the probability of activating p53 post damage indicates independence of the p53 response from the efficiency of the repair machinery.
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