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Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles

Numanul, Subhani; Ngom, Alioune; Rueda, Luis; Burden, Conrad


Genes with similar expression profiles are expected to be functionally related or co-regulated. In this direction, clustering microarray time-series data via pairwise alignment of piece-wise linear profiles has been recently introduced. We propose a k-means clustering approach based on a multiple alignment of natural cubic spline representations of gene expression profiles. The multiple alignment is achieved by minimizing the sum of integrated squared errors over a time-interval, defined on a...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Book chapter
DOI: 10.1007/978-3-642-04031-3_33


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