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Mining Temporal Association Rules from Time Series Microarray Using Apriori Algorithm

Mining Temporal Association Rules from Time Series Microarray Using Apriori Algorithm Microarray Technology is used to automate the diagnostic task and improve the accuracy of the traditional diagnostic techniques. Analysis of microarrays presents a number of unique challenges for data mining. It is a high throughput method to analyze expression levels of multiple genes simultaneously. The concept of association plays an important role in microarray to find the association of expression levels of multiple genes. In the proposed work, the association rule mining technique is used to mine gene expression data in order to analyze the affects of expression of one gene with other gene for gene functionality biological Process and Molecular Function. The yeast Saccharomyces cerevisiae dataset is used for the work where Apriori algorithm is used to find the association of genes for different experimental condition for time interval 2 and 4. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Bioinformatics and Biometrics Science and Engineering Publishing Company

Mining Temporal Association Rules from Time Series Microarray Using Apriori Algorithm

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Publisher
Science and Engineering Publishing Company
Copyright
Science and Engineering Publishing Company
ISSN
2326-5825
eISSN
2326-5833

Abstract

Microarray Technology is used to automate the diagnostic task and improve the accuracy of the traditional diagnostic techniques. Analysis of microarrays presents a number of unique challenges for data mining. It is a high throughput method to analyze expression levels of multiple genes simultaneously. The concept of association plays an important role in microarray to find the association of expression levels of multiple genes. In the proposed work, the association rule mining technique is used to mine gene expression data in order to analyze the affects of expression of one gene with other gene for gene functionality biological Process and Molecular Function. The yeast Saccharomyces cerevisiae dataset is used for the work where Apriori algorithm is used to find the association of genes for different experimental condition for time interval 2 and 4.

Journal

Review of Bioinformatics and BiometricsScience and Engineering Publishing Company

Published: Jun 1, 2013

Keywords: Association; Discrete; Microarray; Regulations; Support; Temporal; Time Interval; Transaction

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