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More accurate scoring methods: the scoring method in this article is actually an average of measurement across all the purifications in a given AP-MS dataset.
In future work, we plan to propose more accurate methods for co-complex score measurement, and new mechanisms for data integration: More accurate scoring methods: the scoring method in this article is actually an average of measurement across all the purifications in a given AP-MS dataset.
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The heart-to-mediastinum ratio (HMR) was measured three times, and the average of measurements was taken into account.
Each point is the average of measurements for twenty randomly generated topologies.
Each data point represents the average of measurements from three consecutive cardiac cycles.
The main effect of each variable was calculated as the difference between the average of measurements made at the high setting and the average of measurements observed at the low setting for that factor.
Summary statistics were computed on the average of measurements.
The second metric was the unweighted average of measurements from the network of monitoring stations.
For all measurements, the final value was the average of measurements performed in 3 sequential cardiac cycles.
In our comparison of outcomes before and after cooking in rural participants, we used the average of measurements before cooking (up to two per participant) and average of measurements after cooking (also up to two per participant).
The samples were analyzed in quadruplicate, and the average of measurements of three different days is shown in Table 3.
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