Mining Temporal Association Rules from Time ...

URL: http://www.seipub.org/rbb/paperInfo.aspx?ID=3060

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.

There are no views created for this resource yet.

Additional Information

Field Value
Last updated unknown
Created unknown
Format unknown
License Other (Open)
Createdover 12 years ago
ide2eee002-14b2-49c8-869e-6a516858fe23
package id6b819e9e-7fb4-4472-ab44-52860503b2a3
position5
resource typefile
revision iddd4989c1-2ce1-4eca-8a0c-beb95243cd98
stateactive