Sentence examples for population queries from inspiring English sources

This may not be the best long-time solution, especially not for population queries.

The specific cell population query definitions we used for these two populations are shown in Table  1.

To determine the function of the transcripts upregulated in the Day 6 GFP+ population, we queried ontology databases.

On the other hand, research activities require population-wide queries that access and aggregate particular data fields from large amounts of EHRs.

Occasionally, discussions about the design of a data storage that balances the need for rapid EHR access in clinical work focused on individual patients with performance for population-wide queries appear on the openEHR wiki [ 24] and the openEHR technical mailing lists [ 25].

Here we describe the identification of expression QTLs (eQTLs) in two different potato tissues of a segregating potato population and query the potato genome sequence to differentiate between cis- and trans-acting eQTLs in relation to gene subfunctionalization. Leaf and tuber samples were analysed and screened for the presence of conserved and tissue dependent eQTLs.

The normalized growth results were expressed as log-ratios between the query population and the reference population.

We derived a similarity matrix for the 31 population groupings by querying the extent of sharing across the 59 positively selected regions, and a hierarchical cluster analysis on this matrix yielded a major branch that consisted of four indigenous population groups: Malaysia (Negrito), Philippines (Negrito), China Hmong and Taiwan Ami and Atayal.

Finding enriched GO terms corresponds to finding enriched biological facts, and term enrichment level is judged by comparing query list to a background population from which the query list is derived.

Given the number of articles viewed on average by our population, the percentage of queries resulting in abstract selection started to decline rapidly with queries yielding more than 161 articles.

Notice that the problem is different for different patients (e.g., 16 reduced to 8, 24 reduced to 12) and it can only be solved with a somewhat complex population-based SQL query using interim tables and is not easily solvable with most SQL-based query tools [ 24].