Multiclass classification of microarray data samples with a reduced number of genes

BACKGROUND: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets harder as the number of classes is increased. In addition, the performance of most classifiers is tightly linked to the effec...

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Detalles Bibliográficos
Autores principales: Tapia, Elizabeth, Ornella, Leonardo, Bulacio, Pilar, Angelone, Laura
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3056725/
https://www.ncbi.nlm.nih.gov/pubmed/21342522
http://dx.doi.org/10.1186/1471-2105-12-59

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3056725/
https://www.ncbi.nlm.nih.gov/pubmed/21342522
http://dx.doi.org/10.1186/1471-2105-12-59

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