Sentence examples for association query from inspiring English sources

We used a two-stage approach for finding the near-shortest associations for an association query (vi, vj): Shortest association finding.

We then define the process of association search from one entity to the other as: Given an association query (vi, vj), where vi denotes the source entity and vj denotes the target entity.

Statistical association queries with phenotype "diabetes" were tested in a linear model using body mass index (BMI) as a covariate.

These queries will become more powerful as these generic 'is associated with' relationships are made more precise ('catalyzes' for kinases, 'catalyzes removal' for phosphatases, etc).. Aside from its use in direct association queries, the 'is_associated_with' property also forms the root of the property hierarchy used in Gene Wiki+.

Fig. 19 Examples of joined ligatures resulting in a mismatch Table 11 Examples of similar ligatures resulting in false matches Query Mismatched Query Mismatched     Table 12 Examples of incorrectly postprocessed complete ligatures (after correct recognition of primary and secondary ligatures) due to incorrect re-association Query complete ligature Falsely formed complete ligature.

The S3DB deployment, and by association its query language, S3QL, uses SQL to operate a regular relational database backbone.

To me the Facebook mechanism seems more like a selection by Facebook of existing, quasi-approved (i.e. hasn't been flagged) profile data it thinks fits what you're looking for, while Google's is a more senseless association of queries it's had — and it has less leeway to remove things, since it can't very well not allow people to search for ethnic slurs or the like.

Following this line of reasoning, we demonstrate the capability of the proposed domainRBF approach in the prediction of novel associations for query diseasesby performing the following ab initio inference experiments.

With these two profiles, we propose a Bayesian regression approach called domainRBF (domain Ranking with Bayes Factor) to calculate a Bayes factor that quantifies the strength of association between the query domain and the query phenotype, using the phenotype similarity profile as the response variable and the domain proximity profile as the predictor variable.

However, the scope of application of this approach is limited because the "guilt-by-association" principle relies on known associations between the query disease and domains to infer novel associations for the query disease.

The detail page reveals how the score of each chosen biological association between the query gene and its associated gene is calculated.