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This involves detection of over-represented sequences in the upstream region of co-regulated genes by using pattern mining programs such as MEME, AlignACE, CONSENSUS, Co-Bind, BioProspector, MITRA, or integrative frameworks such as BEST [ 13- 19].
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Normal rule class, a set of false alert classification rules, can be trained by using sequential pattern mining approach in an attack-free environment.
It is worthwhile to note that some previous works of GIN reference [ 9] also reconstructed gene interactions after discretization using previous pattern mining algorithms (those items used in previous pattern mining algorithms are called traditional items for an easy reference).
Qu and his team found that the varicose sublingual vein is the most important attribute to identify blood stasis pattern by using data mining techniques [ 26].
Recently, there has been an approach to identify order-preserving biclusters using sequential pattern mining (SPM), which has been intensively studied in the field of data mining [ 14].
Terminologies Data analysis It is the process of extracting useful information or pattern from data by using data mining techniques.
We use frequent pattern mining to construct a network between various molecules.
By using data mining techniques, the data stored in a Data Warehouse (DW) can be analyzed for the purpose of uncovering and predicting hidden patterns within the data.
oryzae by using text mining technologies" proposes a hybrid strategy to enhance gene prioritization by combining text mining technologies with a sequence-based approach.
The computational complexity of BicPAM is bounded by the pattern mining task and computation of similarities among biclusters.
Candidate genes encoding for mandible-forming structural proteins were mined in C. quadricarinatus molt-related transcriptomic libraries by using a binary patterning approach.
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