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But the greatest potential lies in linking the two datasets.
Data fusion combines the two datasets into one single database.
The findings indicate statistically significant agreements between the two datasets.
Only less than a third of paralogs were common to the two datasets.
Between the two datasets, IRI now houses around 60 terabytes of subseasonal climate forecasting data.
Excellent agreement was obtained between the two datasets with the small differences being attributable to differences in the spatial and temporal averaging inherent between the two datasets.
The discrepancy between the two datasets suggests the correlation between CBX6 expression and breast cancer patient survival needs further study.
To concordantly analyze expression profiles from TCGA and GTEx, we first verified comparability between the two datasets.
The two datasets are independent.
Table 1 compares the two datasets.
Another difference between the two datasets was the stimuli used.
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