Biological-based semi-supervised clustering algorithm to improve gene function prediction

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Biological-based semi-supervised clustering algorithm to improve gene function prediction

Analysis of simultaneous clustering of gene expression with biological knowledge has now become an importanttechnique and standard practice to present a proper interpretation of the data and its underlying biology. However, commonclustering algorithms do not provide a comprehensive approach that loo...

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Bibliographic Details
Main Authors:	Kasim, Shahreen, Deris, Safaai, M. Othman, Razib, Hashim, Rathiah
Format:	Article
Published:	Journal of Computing 2011
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/6964/

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