Comparative analysis of clustering methods for gene expression time course data

This work performs a data driven comparative study of clustering methods used in the analysis of gene expression time courses (or time series). Five clustering methods found in the literature of gene expression analysis are compared: agglomerative hierarchical clustering, CLICK, dynamical clustering...

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Bibliographic Details
Main Authors: Ivan G. Costa, Francisco de A. T. de Carvalho, Marcílio C. P. de Souto
Format: Article
Language:English
Published: Sociedade Brasileira de Genética 2004-01-01
Series:Genetics and Molecular Biology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400025