Towards Mining Frequent Patterns in Genome Wide Association

Frequent pattern mining (FPM) is a popular method in discovering knowledge through generating associations between the attributes in database. Frequent patterns (FPs) represent interesting relationship that could improve understanding the data. High throughput genomic datasets normally consists of a lot of hidden relationships that can be discovered. It is challenging to explore the relationship between genomic factors and the complex disease. To face the challenges of high dimensional dataset, we perform preliminary study in genome wide association data using frequent pattern mining.

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