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Our results include the rediscovery of discovery patterns that have been constructed manually by other authors in previous research, as well as the discovery of a set of previously unrecognized patterns.
Rapid and efficient inference is accomplished through the application of geometric operators in PSI space, allowing for both the derivation of discovery patterns from a large set of known TREATS relationships, and the application of these discovered patterns to constrain search for therapeutic relationships at scale.
Our approach, named Predication-based Semantic Indexing, is utilized to identify empirically sequences of relationships known as "discovery patterns", such as "drug x INHIBITS substance y, substance y CAUSES disease z" that link pharmaceutical substances to diseases they are known to treat.
PSI was used to infer reasoning pathways, or "discovery patterns", from therapeutic (TREATS) relationships in SemMedDB concerning cancers other than prostatic cancer.
For integration of omic data and LBD, we have developed discovery patterns, which are query combinations whose results represent a novel hypothesis not evident in the literature or in the microarray results alone.
As shown for lovastatin in Table 3, predications related to many of these mechanisms conform to the constraints of the KW discovery patterns, and would therefore have contributed toward the strength of this prediction.
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In addition, the results provide strong support for the utility of the discovery pattern approach pioneered by Hristovski and his colleagues.
The specifications stated in the problem identification step will guide the next steps of the text mining process, which can be executed in cycles of data preparation (pre-processing step), knowledge discovery (pattern extraction step), and knowledge evaluation (post-processing step).
We call this discovery pattern " inhibit the upregulated".
The second group of results reflects the number of distinct genes, a particular drug inhibits or stimulates, depending on the discovery pattern used for search.
This step is driven by the considered pattern discovery approach, target patterns and search properties.
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CEO of Professional Science Editing for Scientists @ prosciediting.com