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A new computational framework for gene expression clustering

Kasim, Shahreen and Deris, Safaai and Othman, Razib M. (2010) A new computational framework for gene expression clustering. In: ADMA'10: Proceedings of the 6th international conference on Advanced Data Mining and Applications. (Unpublished)

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Abstract

Clustering of gene expression is a useful exploratory technique for gene expression dataset as it groups similar objects together and identify potentially meaningful relationships between the objects. However, there are several issues arise for instance data intensive and redundancy in the cluster. Therefore, the new computational framework is needed in order to handle these issues. The results showed that the proposed computational framework achieved better results compared with other methods.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: biological knowledge; functional annotations; gene expression; gene function prediction
Subjects: Q Science > QA Mathematics > QA76 Computer software
Depositing User: Normajihan Abd. Rahman
Date Deposited: 13 Aug 2018 03:42
Last Modified: 13 Aug 2018 03:42
URI: http://eprints.uthm.edu.my/id/eprint/3756
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