Sentence examples for dataset heterogeneity from inspiring English sources

Exact(4)

This dataset heterogeneity made it difficult, if not impossible, to objectively compare methods, and impeded the progress of the field.

As expected, we clearly demonstrate that mechanism-level overlap trumps gene-level overlap despite dataset heterogeneity, and this for both types of mechanisms: curated and curation-free ones.

In other words, despite dataset heterogeneity, FAIME-derived pathway mechanisms increased three- to four-fold the overlap in all the pairwise dataset comparisons.

This dataset heterogeneity has also been reported as a fundamental challenge in reproducibility of gene signatures across solid tumor datasets and the FAIME methodology was nonetheless sensitive enough to significantly detect them.

Similar(56)

In the absence of any between-dataset heterogeneity, fixed and random effects estimates coincide.

Meta-analysis showed large between-dataset heterogeneity that was driven by different effects in prostate cancer and other cancers.

Meta-analysis may be used to improve the power and examine the between-dataset heterogeneity of genome-wide association studies.

Between-dataset heterogeneity was quantified using the I2 metric for inconsistency [15] and its statistical significance was tested with the chi-square distributed Q statistic [16].

In our empirical evaluation, the SNPs that were proposed by each strategy typically had no measurable or minimal between-dataset heterogeneity.

Three SNPs (rs1000291 on chromosome 3, rs2241743 on chromosome 4 and rs3018626 on chromosome 11) were selected by all three strategies; the first two had absolutely no between-dataset heterogeneity (I2 = 0) and the third had minimal between-dataset heterogeneity (I2 = 15%).

However, some may warrant further consideration: 6 SNPs were identified with at least 2 of the 3 strategies and 3 SNPs [rs1000291 on chromosome 3, rs2241743 on chromosome 4 and rs3018626 on chromosome 11] were identified with all 3 strategies and had no or minimal between-dataset heterogeneity (I2 = 0, 0 and 15%, respectively).

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