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A second source for this correlation might be found in the generation of new alternative splice forms rather than new genes, with the original splice form maintaining its expression pattern but the new one diverging.
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It is necessary to translate the logs from different types of source to a common format if we want to use them as a source for event correlation.
These considerations have motivated our use of correlated time changes as the source for correlation in squared returns.
There are many possible reasons for this correlation between more women and healthier companies.
The researchers pointed to a few possible reasons for this correlation.
If the estimates and are derived from independent sources, this correlation will be zero.
The depth for which this correlation reaches maximum (the best matching) is chosen as the estimated source depth.
For that, this correlation is a regression model correlation.
For Paris, this correlation is strongly positive (+0.74).
For ritonavir, this correlation was not assessed.
We do not think that this lack of correlation completely rules out the significance of the results obtained with these assays, since at the moment we do not understand the source for the lack of correlation.
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