Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles
-
Altmetric Citations
Numanul, Subhani; Ngom, Alioune; Rueda, Luis; Burden, Conrad
Description
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]
Collections | ANU Research Publications |
---|---|
Date published: | 2009 |
Type: | Book chapter |
URI: | http://hdl.handle.net/1885/28028 |
Book Title: | Pattern Recognition in Bioinformatics: proceedings of the 4th international workshop on Pattern Recognition in Bioinformatics |
DOI: | 10.1007/978-3-642-04031-3_33 |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Numanul_Microarray_Time-Series_Data_2009.pdf | 367.4 kB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator