Clustering microarray time-series data using expectation maximization and multiple profile alignment
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Subhani, Numanul; Rueda, Luis; Ngom, Alioune; Burden, Conrad
Description
A common problem in biology is to partition a set of experimental data into clusters in such a way that the data points within the same cluster are highly similar while data points in different clusters are very different. In this direction, clustering microarray time-series data via pairwise alignment of piece-wise linear profiles has been recently introduced. We propose a EM clustering approach based on a multiple alignment of natural cubic spline representations of gene expression profiles....[Show more]
Collections | ANU Research Publications |
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Date published: | 2009 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/81758 |
Source: | Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009 |
DOI: | 10.1109/BIBMW.2009.5332128 |
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