Statistical Properties of Multivariate Distance Matrix Regression for High-Dimensional Data Analysis

Multivariate distance matrix regression (MDMR) analysis is a statistical technique that allows researchers to relate P variables to an additional M factors collected on N individuals, where P ≫ N. The technique can be applied to a number of research settings involving high-dimensional data types suc...

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Detalles Bibliográficos
Autores principales: Zapala, Matthew A., Schork, Nicholas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3461701/
https://www.ncbi.nlm.nih.gov/pubmed/23060897
http://dx.doi.org/10.3389/fgene.2012.00190

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3461701/
https://www.ncbi.nlm.nih.gov/pubmed/23060897
http://dx.doi.org/10.3389/fgene.2012.00190

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