Multiple gene expression profile alignment for microarray time-series data clustering
Motivation: Clustering gene expression data given in terms of time-series is a challenging problem that imposes its own particular constraints. Traditional clustering methods based on conventional similarity measures are not always suitable for clustering time-series data. A few methods have been proposed recently for clustering microarray time-series, which take the temporal dimension of the data into account. The inherent principle behind these methods is to either dene a similaritymeasure...[Show more]
|Collections||ANU Research Publications|
|01_Subhani_Multiple_gene_expression_2010.pdf||4.61 MB||Adobe PDF|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.