Sentence examples for measures we simulated from inspiring English sources

Using the matrix of experimentally obtained FPKM measures, we simulated gene-specific expression using NB distribution.

In order to compare the null model characteristics of the specialization measures, we simulated artificial matrices with randomly associated partners and plotted the indices against an increasing number of partners and/or total number of interactions.

To get an average error measure, we simulated misalignment in all images at different noise levels except the first image of the sequence.

In addition to inversions based on measured data, we simulated several datasets at different multi-angular configurations and compared the accuracy of the inversions of these datasets with the inversion based on data simulated at nadir position.

Initially we simulated then measured the influence of the emission surface and the acoustic load of the medium on the impedance at the antiresonance frequency at which the transducer is most sensitive.

We experimentally confirmed the distribution we simulated by measuring the lengths of many single telomeres.

To incorporate this measure into the PG model, we simulated reads from both a maternal (D. simulans) and paternal (D. melanogaster) reference.

Nevertheless, when we simulated plasma PFAS levels across pregnancy in women from two studies who had their blood levels measured twice, simulated levels followed a decline in PFAS levels that closely matched reported levels.

In experiments, the potential is much easier to measure than the current density, and hence we simulate and measure potential distributions.

For the first experiment, we measured simulated 2048-byte echo RPCs between two machines in 3 different scenarios: both machines in the same data center, both machines in the same region, but different data centers, and both machines in different regions.

Given O = 1 or 0, we simulate quantitative measure p from the Uniform distribution U a, 1) or U 0, a), where a is the threshold to declare a causative variant.