Optimality driven nearest centroid classification from genomic data.
Nearest-centroid classifiers have recently been successfully employed in high-dimensional applications, such as in genomics. A necessary step when building a classifier for high-dimensional data is feature selection. Feature selection is frequently carried out by computing univariate scores for each...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science (PLoS)
2007-10-01
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| Edice: | PLoS ONE |
| On-line přístup: | http://europepmc.org/articles/PMC1991588?pdf=render |
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