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Gene Expression Data Classification With Kernel Principal Component Analysis
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. Development of new methodologies or modification of existing methodologies is needed for the analysis of the microarray da...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1184105/ https://www.ncbi.nlm.nih.gov/pubmed/16046821 http://dx.doi.org/10.1155/JBB.2005.155 |