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

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...

Source: BioData Mining - June 29, 2016 Category: Bioinformatics Authors: Y-h Taguchi Source Type: research