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The results are therefore generalisable to datasets with a substantial proportion of records with incomplete information on names, dates of birth and/or sex.
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All binary variables (e.g. 0/1) with > 95% zeros were excluded to achieve a representative dataset with a substantial number of individuals exhibiting the true condition.
This system and the >250 datasets establish a substantial new resource for investigation of how genetic variation affects cellular phenotypes.
The high-throughput datasets contain a substantial amount of missing values, due to experimental limitations or instrument failures.
This dataset shows a substantial overlap with ours both in terms of binding regions (supplementary material Fig. S3A-C) and target genes (Fig. 3A).
Enhancement of reporting of deaths among Aboriginal and Torres Strait Islander peoples using record linkage with a range of population datasets resulted in a substantial increase in the number of reported deaths.
For both datasets, a substantial fraction of the compounds (57.7% and 73.5%, respectively) demonstrated single target activity.
Hence, the information gain is high: the assimilated dataset yields a substantial decrease in uncertainty.
Our dataset adds a substantial part towards the complete gene content in the tardigrada species.
This large dataset represents a substantial data resource that can be used to suggest gene identity through correlation analysis.
However, as one of the largest health service providers in Australia and with a substantial and diverse migrant population, the dataset had the potential to make a valuable contribution to our understanding of migration as a health determinant.
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