Sentence examples for datasets were defined as from inspiring English sources

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Genes with no AS variants identified in both datasets were defined as non-alternatively spliced genes.

Genes with AS variants identified in both AltSplice and Ecgene datasets were defined as alternatively spliced genes.

To eliminate any possible biasness in the definition of "hub" and "end" proteins, we varied the cutoff values for "hub" proteins in two consecutive validation analyses and rather than defining a protein with more than 10 interactors as a "hub", those with more than 5 or 20 interactors in the disease datasets were defined as "hubs" respectively.

Background datasets for each of the four test datasets were defined as the remainder of the relevant reference dataset after subtraction of the test data.

Complete datasets were defined as datasets for patients that contained all baseline demographic and clinical data, information regarding baseline drug therapies, and all blood results and randomization data (as in Table 1).

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Some datasets are defined as their own entity (e.g., GeneTrails_Genes or Patient_Called_DNA_Variant_File) while others are defined as subclasses to other datasets (e.g., Queried_SNP_Result and SNPSubset are subclasses of SNPData).

On average, about 4% of the genes in each dataset were defined as truly differentially expressed.

Genotypes in our dataset were defined as 'presence' or 'absence' of a RAD allele, and as such the RAD markers were effectively acting as dominant markers.

The top five genes in each GO term which satisfied the following criteria: co-expressed through development in the PxH and WxH animals, and highly correlated with ADG/kg liveweight in the Brahman dataset were defined as a gene set.

The view angle of our dataset is defined as shown in Fig. 3.

The overall likelihood in our dataset is defined as the average of the likelihood measured for each query, as follows: L(k) = frac{1}{| Z_{k} |} {displaystyle sum_{q in Z_{k}} L_{q} k)}.

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