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Predictive response-relevant clustering of expression data provides insights into disease processes
This article describes and illustrates a novel method of microarray data analysis that couples model-based clustering and binary classification to form clusters of `response-relevant' genes; that is, genes that are informative when discriminating between the different values of the response. Pr...
Autores principales: | Hopcroft, Lisa E. M., McBride, Martin W., Harris, Keith J., Sampson, Amanda K., McClure, John D., Graham, Delyth, Young, Graham, Holyoake, Tessa L., Girolami, Mark A., Dominiczak, Anna F. |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2978340/ https://www.ncbi.nlm.nih.gov/pubmed/20571087 http://dx.doi.org/10.1093/nar/gkq550 |
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