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...
Main Authors: | , , |
---|---|
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 |