Sentence examples for partitioning of the sample from inspiring English sources

For the k th sample, this is given by (7) This vector of probabilities is equivalent to a weighted partitioning of the sample set.

Moreover, thanks to the partitioning of the sample, the PCR efficiency is less affected by the presence of inhibitors and allows reducing the uncertainty in the measurement, especially at low copy number, as observed with qPCR calibration curves generated by serial dilutions of the target.

The partitioning of the samples is continued until homogeneous groups of small number of samples remain.

Once the mixture parameters are obtained, we can then compute a weighted partitioning of the samples into the correlated and uncorrelated sets.

However, utilizing only the microarray data in the clustering process resulted in partitioning of the samples into just two groups with R' = 0.51.

In addition to the AMOVA, we ran a spatial AMOVA (SAMOVA) at k = 2, to confirm the groupings used in the AMOVA, as well as to test how geospatial partitioning of the sampled populations affected population differentiation [ 28].

Partitioning of the sampled regions into either high or low GLUT1 or Nuc-pYStat5 levels revealed that areas with high GLUT1 levels had 1.72-fold elevated odds of displaying low Nuc-pYStat5 levels (odds ratio = 1.72, 95%CI: 1.12 to 2.66; p = 0.013).

At each age, we make a partition of the sample according to the 1/3 and 2/3 percentiles of the distribution of wages and pension rights.

Each graph has age on the horizontal axis and two lines corresponding either to a partition of the sample according to the duration of the unemployment spell (h) (on the left-hand panels) or to the size of the accrued pension rights, (hat {w}) (on the right-hand panels).

In k-fold cross-validation, k random, (approximately) equal-sized, disjoint partitions of the sample data are constructed, and a given model is trained on (k−1) partitions and tested on the excluded partition.

The partition of the sample from North Wales into two model populations, one of which was common with other UK regions, and the other of which was unique to this location, was unexpected.