TY  - GEN 
AU  - González Peña, Daniel
AU  - Díaz Gómez, Fernando
AU  - Méndez, Jose R.
AU  - Corchado Rodríguez, Juan Manuel
AU  - Fernández Riverola, Florentino
PY  - 2009
SN  - 978-3-642-02480-1 (Print) / 978-3-642-02481-8 (Online)
SN  - 0302-9743 (Print) / 1611-3349 (Online)
UR  - http://hdl.handle.net/10366/134967
AB  - Sample-based clustering is one of the most common methods for discovering disease subtypes as well as unknown taxonomies. By revealing hidden structures in microarray data, cluster analysis can potentially lead to more tailored therapies for patients...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - An Evolutionary Approach for Sample-Based Clustering on Microarray Data
ER  -