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Estimation of Relevant Variables on High-Dimensional Biological Patterns Using Iterated Weighted Kernel Functions

BACKGROUND: The analysis of complex proteomic and genomic profiles involves the identification of significant markers within a set of hundreds or even thousands of variables that represent a high-dimensional problem space. The occurrence of noise, redundancy or combinatorial interactions in the prof...

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Detalles Bibliográficos
Autores principales:	Rojas-Galeano, Sergio, Hsieh, Emily, Agranoff, Dan, Krishna, Sanjeev, Fernandez-Reyes, Delmiro
Formato:	Texto
Lenguaje:	English
Publicado:	Public Library of Science 2008
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2396875/ https://www.ncbi.nlm.nih.gov/pubmed/18509521 http://dx.doi.org/10.1371/journal.pone.0001806

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