Sentence examples for by random samplings from inspiring English sources

To illustrate this, we calculated the number of common loci after replacing the L3 and D3 pools by random samplings of R3 with no replacement, and identified 2,818 common loci.

A plausible explanation is that the FSV is most affected by random sampling effects for the few sequencing reads covering the SNP, when the difference in allele frequencies is small.

Bagging (which stands for Bootstrap Aggregation) consists of an ensemble (or set) of decision trees, where different decision trees in the ensemble are produced by different random samplings (different bootstrap samples) of the original training set [31].

To evaluate the stability of graph clustering results by DPClus, we also clustered the networks generated by several random samplings of 80% or more edges of the original network.

In order to test the significance of these pathways, we performed a randomization approach, by comparing the median LOD score of these pathways with the median scores obtained by two random samplings.

Where multiple tests are performed, a Bonferroni correction is applied by multiplying the number of random samplings by the number of tests (159 in the case of Table 3).

To perform IDR evaluation, pseudo replicates were produced by two independent random samplings.

This result was confirmed by performing 10,000 random samplings of two groups of genes of the same size (317 and 356 genes) from 35% most highly expressed genes giving an empirical P ≤ 0.0371.

The number of times that the sampled mean for FN genes is less than the sampled mean for TP genes divided by the number of random samplings gives a confidence score or p value.

Recently, CS theory was successfully applied to dynamic MRI in a new algorithm called k-t FOCUSS by employing random sampling pattern in k- t space and by using various sparsifying temporal transforms such as Fourier transform (FT) and Karhunen-Loéve transform (KLT) to utilize the temporal redundancies [ 16, 18].

Figure 1 shows results from constructed datasets representing two lanes from an ideal replication experiment ("perfect" in silico replicates affected only by the random sampling effect), and pairs of lanes where one of the two has various amounts of contamination.