Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression

BACKGROUND: The recently proposed principal component analysis (PCA) based unsupervised feature extraction (FE) has successfully been applied to various bioinformatics problems ranging from biomarker identification to the screening of disease causing genes using gene expression/epigenetic profiles....

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Detalles Bibliográficos
Autor principal: Taguchi, Y-h
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928327/
https://www.ncbi.nlm.nih.gov/pubmed/27366210
http://dx.doi.org/10.1186/s13040-016-0101-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928327/
https://www.ncbi.nlm.nih.gov/pubmed/27366210
http://dx.doi.org/10.1186/s13040-016-0101-9

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