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Brain tumor microarray data analyzed using clustering and novel consensus clustering techniques
Magaña Mesa, José Antonio
Gómez Jiménez, Sergio; Arenas Moreno, Alexandre
Brain Tumor MA Data is analyzed with different clustering methods obtaining heterogenous results. Application of consensus clustering produces a robust unique solution.Results are validated with internal and external techniques. Feature extraction and Domain Knowledge confirm discovery of subclasses.
Àrees temàtiques de la UPC::Informàtica
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
Computer algorithms
Consensus Clustering
Microarray Data
Class Discovery
Feature extraction
Algorismes computacionals
Universitat Politècnica de Catalunya

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