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Approaches to working in high-dimensional data spaces: gene expression microarrays
This review provides a focused summary of the implications of high-dimensional data spaces produced by gene expression microarrays for building better models of cancer diagnosis, prognosis, and therapeutics. We identify the unique challenges posed by high dimensionality to highlight methodological p...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275474/ https://www.ncbi.nlm.nih.gov/pubmed/18283324 http://dx.doi.org/10.1038/sj.bjc.6604207 |