Online Supplement to

A Memetic-Aided Approach to Hierarchical Clustering from Distance Matrices

C. Cotta, P. Moscato

Welcome to the website companion to the paper cited above, submitted to the Biosystems special issue "Computational Intelligence in Bioinformatics".

Here you can find enhanced views of data presented in the paper, as well as pointers to their source. An erratum is also available.

Please make a selection from the following:

Figures from the paper

Figure 9 (top): Hierarchical Clustering of the HERPES dataset as calculated by the complete-link algorithm
Figure 9 (bottom): Hierarchical Clustering of the HERPES dataset as calculated by the memetic algorithm

Data sets employed

20MAMMALS
34MAMMALS
M. Li, J.H. Badger, C. Xin, S. Kwong, P. Kearney, H. Zhang, "An Information Based Sequence Distance and Its Application to Whole Mitochondrial Genome Phylogeny", Bioinformatics 17:149-154, 2001
84ANIMALS Contact Professor M. Li for availability.
HERPES Jenner, R.G., M.M. Alba, C. Boshoff, P. Kellam, "Kaposi's Sarcoma-associated Herpesvirus Latent and Lytic Gene Expression as Revealed by DNA Arrays", J. Virol. 75:891-902, 2001
LYMPHOMA Alizadeh et al., "Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling", Nature 403:503-511, 2000
FIBROBLAST Iyer et al., "The Transcriptional Program in the Response of Human Fibroblasts to Serum", Science 283:83-87, 1999


Last updated on July, 19th. Send comments or questions to ccottap@lcc.uma.es