Sentence examples for between different datasets and from inspiring English sources

Because the trees were inconsistent between different datasets and methods, we traced the evolution of DNA uptake and transformation separately on each of four trees: the MLST BUCKy tree (Figure 4A), the MLST ClonalFrame tree (Figure 6), the Genome BUCKy tree (Figure 4B), and the Uptake/transformation BUCKy tree (Figure 4C).

With C.difficile emerging as a public health threat in the past decade, countries seeking to establish national surveillance for CDI may choose administrative data as their surveillance instrument because of relative accessibility, consistency between different datasets and for longitudinal comparisons [6].

Standardization of knowledge representation allows easy comparisons between different datasets and better communication of the knowledge.

Alternately, nested study designs with longitudinal data collection allow linkage between different datasets and may prove the best option.

They reported a limited degree of consistency between different datasets, and reached the conclusion that DNA sequence preferences have only small effects in the placement of nucleosomes in vivo.

To allow comparative analysis between different datasets and since standard pathology for ER and HER2 was not available for all samples, the receptor status was determined based on Affymetrix expression data as previously described [ 36].

We described a general approach for integrating and managing similarities and differences between different datasets using CDEs and inference rules.

Some methods, e.g. SMO, Bagging, Decorate and MultiBoostAB, were more stable regarding changes in classification conditions, whereas in the case of the others, such as NaïveBayes, J48 or Hyperpipes, the performance strongly varied between different datasets, fingerprints and targets.

As we were unable to determine a clearly defined set of identical receptors that correlated with antigen response, we devised a strategy to extract features that would reflect the similarities and differences between different datasets.

Flexibility between local, hemispherical, and global questions, between context and artifact, between essentialism and materialism, between reductionism and emergence, and between different datasets to create inclusive analyses and more theoretical understanding of the process in an interdisciplinary manner is one goal.

These datasets can be used to compare and benchmark methods, to provide links between different datasets facilitating meta-analysis, and to enable researchers who lack such resources to test hypotheses that address important questions.