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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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Библиографические подробности
Опубликовано в: :BioData Min
Главный автор: Taguchi, Y-h
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2016
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4928327/
https://ncbi.nlm.nih.gov/pubmed/27366210
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13040-016-0101-9
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