Sentence examples for joining datasets from inspiring English sources

To avoid spurious joining, datasets with many unique sequences required longer overlaps than those with few unique sequences (Figure 4A).

The two joined datasets are characterised by class imbalance, features imbalance, and imbalance of the number of observations between the modes.

Finally, in Section 5 we discuss the use of synthetic data via the simple class imputation methods, the multiple imbalances present at the joined datasets, a comparison considering the modal origin of the highlighted features, and biological implication of the proposed biomarker sets.

We further indicate the ML estimates of growth parameters for joined dataset as estimated by LAMARC together with 95% C.I. Finally, we also indicate the Log Likelihood values of no-founder and bottleneck models of Galtier et al. as estimated by SWEEP-BOTTLENECK software.

As the expression profile datasets were generated on different platforms, and as many of the genes represented were measured on multiple probes in any one dataset, a method to select the optimal probe to represent each gene in an unbiased fashion was used when joining multiple datasets.

The following example illustrates how caTRIP would construct and execute a user query that joins disparate datasets.

We joined the datasets by using Rubin's rules to obtain combined imputation estimates and standard errors.

In order to further compact and properly join the datasets, multiple probes treatment was then performed to cluster probes from the same gene (hierarchical clustering, cutoff height =0.6).

It depends, it all depends on what phenotypic and other sort of data go along with it, how possible it is for people to join up datasets" (R).

Deterministic linkage methods range from simple joins of datasets by a consistent entity identifier to sophisticated stepwise algorithmic linkage which includes additional information to allow variation between records that match i.e. it does not rely on an exact match of the entity identifier.

The above statement is joining the two datasets x_distributed and y_distributed where both datasets are distributed over several machines.