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The consequence of this modeling choice is that not only the spatial correlations, but also the temporal correlations are learned.
An experimental test rig is designed and built not only to evaluate the validity of the semi empirical correlations, but also to extend the range of application of the equation.
Structures 2 and 3 (Scheme 1) were identified as 1N- and 2N-glucuronides unambiguously based not only on the specific NOE correlations but also on distinctive differences in the observed chemical shifts as discussed in Additional file 1. Scheme 1 Structures and atom numbering of drug candidate 1 and glucuronides 2 and 3.
There were clear correlations, but also cases where the results did not agree fully, and we suggest that a combination of approaches is most useful while working toward understanding prophage diversity within this species.
From analysis of distribution of correlation of gene expression to SPPR we found that not only functional categories had distinctive correlations, but also that genes with positive correlation to SPPR tended to be more lineage specific than genes with negative correlation.
We introduced a novel concept in correlation network, the so-called graph clustering approach, which results in finding not only the correlations but also the clusters in these networks providing thus based on the concept of modularity a better visualization and analysis in lipidomic data exploration.
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However, we showed that RDW was well correlated not only to the hemoglobin level (negative correlation) but also to other parameters for high tumor burden such as azotemia, M-protein, bone marrow plasma cell percentages, and ISS stages.
The basic motivation behind differential data transmission is that the data gathered from group members exhibit not only spatial correlation but also temporal correlation.
However, note that considering not only the time correlation but also the space correlation at the sensing nodes would require intensive inter-node communication.
Instead of considering the all 135 variables into the model directly, it selects the certain variables from the perspective of not only correlation but also economic sense.
The diagonal inflated bivariate Poisson model not only can model paired data with correlation, but also handle under- or over-dispersed data sets as well.
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