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...

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Detalles Bibliográficos
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.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Computational Biology
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

Internet

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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