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The variable query is defined as the relationship between consumers and data items.
For single-variable queries, the tool is about 70 to 80percentt accurate in picking the right variable.
Due to lack of the explicit language construct for the notion of variables, queries are often awkward and less intuitive.
Matches were considered reliable according to their E-value (e-5) with variable minimum query coverage: 10% for G13 (710 bp-long) and for G22 (740 bp-long), 45% for G30 (467 bp-long) and for C211 (252 bp-long).
Pubmed ID numbers of all matching records are temporarily stored on the Pubmed server and can be accessed using the EFetch method and an assigned Web environment variable and query key, which is returned by the ESearch method.
After each glucose measurement, a number of clinical variables were queried from the nurse (table 1).
Socio-demographic and family background variables were queried (e.g., city or town of birth, education, number of children, marital status, religion, living situation).
These algorithms enable probability intervals to be obtained for the states of a given query variable.
Inference of P(X∣ e) where X is the (uninstantiated) query variable, and e is the available evidence, is based on the full joint probability.
Symbols and grammar of this language allow users to encode structures and to formulate context-annotated queries with variable granularity of molecular or supramolecular details.
To examine the behavior of the fetchGWI and the tagger programs, we ran queries with variable numbers of tag sequences on the human and mouse genomes.
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