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Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets

BACKGROUND: A key question when analyzing high throughput data is whether the information provided by the measured biological entities (gene, metabolite expression for example) is related to the experimental conditions, or, rather, to some interfering signals, such as experimental bias or artefacts....

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Detalles Bibliográficos
Autores principales:	Yao, Fangzhou, Coquery, Jeff, Lê Cao, Kim-Anh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2012
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3298499/ https://www.ncbi.nlm.nih.gov/pubmed/22305354 http://dx.doi.org/10.1186/1471-2105-13-24

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