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

Internet

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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