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DNA hybridization arrays simultaneously measure the expression level for thousands of genes. A great challenge in the bioinformatics field is to discover gene interactions from such measurements and estimate gene networks. In this paper, we exploit data mining techniques for discovering interactions among genes based on multiple expression measurements. We present an application of the Apriori algorithm...
Anomaly detection has the double purpose of discovering interesting exceptions and identifying incorrect data in huge amounts of data. Since anomalies are rare events which violate the frequent relationships among data, we propose a method to detect frequent relationships and then extract anomalies. The RADAR (Research of Anomalous Data through Association Rules) method is based on data mining techniques...
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