Multiclass prediction with partial least square regression for gene expression data: applications in breast cancer intrinsic taxonomy.
Multiclass prediction remains an obstacle for high-throughput data analysis such as microarray gene expression profiles. Despite recent advancements in machine learning and bioinformatics, most classification tools were limited to the applications of binary responses. Our aim was to apply partial le...
| Publicado en: | BioMed Research International Vol. 2013; pp. 248648 - 248649 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |