Sentence examples for ontological term from inspiring English sources

Exact(6)

In this example, the "ontological term definition" for "quantity" is added as a shortcut called "quantity" using a Uniform Resource Identifier (URI) (indicated by "@id") where a definition of the term is reported, and the value "magnetic field strength" is indicated by "@type" as being of type "string".

For each ontological term in the GO tree, we included as members any genes that were either associated with that term or a gene that was associated with an "is_a" descendant of the term.

The consequence is that except in narrow domains of intermediary metabolism, the association of an ontological term with a biological object is restrictive, and ill suited to encourage discoveries.

Furthermore, documents that do not appear to share common key words, but are properly tagged for ontological terms, can still be cross-referenced as long as there is a common parent ontological term.

Because of the limited number of genes annotated under the ontological term "Megakaryocyte differentiation", we curated a list of 57 Mk genes based on existing literature [ 4, 24- 31] that are represented on the Agilent Human 1A v2) array by a total of 64 probes (see Additional File 3).

The most interconnected ontological term is membrane and all the other processes are related to membrane events: these include cell adhesion, neuronal projections, synaptic functions and transmission of nerve impulse.> -wrap-foot> The full list of differentially expressed genes between genotypes is given in Table S3 and the full pathway analysis in Table S4.

Similar(54)

GOSlim consists of a subset of the gene ontology vocabulary encompassing key ontological terms and a mapping function between the full GO and the GOSlim.

Each resource is given a unique identifier in the form of a uniform resource identifier (URI) and a page within the NeuroLex, a semantic wiki also housing the NIF ontologies, where the resource can be aligned to additional ontological terms.

Terminizer (Website 13), developed by the Department of Computer Science, University of Manchester, is an easy-to-use tool that promotes the inclusion of ontologies in scientific data by assisting in the detection of ontological terms found in free text.

The intrinsic strategy exploits the inherent structural information encoded in ontologies, which enables the modeling of the information content of ontological terms in ways that do not rely on the availability and the quality of statistical information about the usage of these terms.

The user formulates queries by utilizing the terms (concepts) defined by the ontology, and the queries are executed according to mappings between the ontological terms and their corresponding representations in the local schemas.

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