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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| 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 |