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We confirmed our inferred phylogeny by using different data sets and three different standard phylogenetic methods (Supplementary Fig. 13).
Advances in the area of big data have attempted to address the non-uniformity in aggregate datasets by using different data models.
The fishermen cohort was established by using different data sources, which we believe cover all professional fishermen in the country.
Here, we hope that such missing data can be "compensated" to a major extent by using different data layers.
Few have attempted to improve the accuracy of syndromic surveillance systems, and they have done so either by modifying statistical outbreak detection algorithms [ 3- 5] or by using different data sources [ 6, 7].
Triangulation by using different data collection techniques, i.e. in-depth interview and FGD, along with the use of multiple interviewers and different categories of participants increases the validity of the results [ 36, 41].
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It can be stated that the results produced by calculation using different data libraries show large discrepancies with the experimentally determined reaction rates in the range up to 33.0%.
Similar results were previously found by others using different data sources in Canada [ 21, 22].
Our example of one trial has limited generalizability, which would be enhanced by comparing these methods using different data from other trials and from simulations.
However, a second study by Jordan et al. [ 7] using different data sets for both protein protein interactions and evolutionary rates failed to find a significant correlation between evolutionary rate and the number of interactions.
The estimate of the hybridization parameter indicates that the hybrid population is entirely S. c. tergeminus in origin, in agreement with the conclusions reached by Gibbs et al. [ 19] using different data and methodology.
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by using diverse data
by using disparate data
by using different amounts
by considering different data
by using different models
by using different colors
by using different proportions
by bringing different data
by using disaggregated data
by using different approaches
by comparing different data
by processing different data
by using different aryl-glycosides
by using different weapons
by selecting different data
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