Incorporating biological information in sparse principal component analysis with application to genomic data

BACKGROUND: Sparse principal component analysis (PCA) is a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimensional data. It has been recognized that complex biological mechanisms occur through concerted relationships of multiple genes working in networks...

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Detalles Bibliográficos
Autores principales: Li, Ziyi, Safo, Sandra E., Long, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504598/
https://www.ncbi.nlm.nih.gov/pubmed/28697740
http://dx.doi.org/10.1186/s12859-017-1740-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504598/
https://www.ncbi.nlm.nih.gov/pubmed/28697740
http://dx.doi.org/10.1186/s12859-017-1740-7

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