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Variable selection for discriminant analysis with Markov random field priors for the analysis of microarray data
Motivation: Discriminant analysis is an effective tool for the classification of experimental units into groups. Here, we consider the typical problem of classifying subjects according to phenotypes via gene expression data and propose a method that incorporates variable selection into the inferenti...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3105481/ https://ncbi.nlm.nih.gov/pubmed/21159623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq690 |
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