The term "discovery pattern" is correct and commonly used in written English.
It refers to a specific way in which something is discovered or learned. Example: "The scientist's research team followed a unique discovery pattern, which led them to uncover a groundbreaking solution to the problem."
The discovery pattern was then used to classify a separate masked test set of 57 cancer and 52 controls.
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.
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.
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.
Using these discovery patterns, we could combine information from the microarray data about up- or downregulated genes in patients having DR with information from the literature about biomedical concepts that can be used to regulate those genes.
