Statistical significance of variables driving systematic variation in high-dimensional data

Motivation: There are a number of well-established methods such as principal component analysis (PCA) for automatically capturing systematic variation due to latent variables in large-scale genomic data. PCA and related methods may directly provide a quantitative characterization of a complex biolog...

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Detalles Bibliográficos
Autores principales: Chung, Neo Christopher, Storey, John D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4325543/
https://www.ncbi.nlm.nih.gov/pubmed/25336500
http://dx.doi.org/10.1093/bioinformatics/btu674

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4325543/
https://www.ncbi.nlm.nih.gov/pubmed/25336500
http://dx.doi.org/10.1093/bioinformatics/btu674

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