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Article
Open AccessClassification of gene signatures for their information value and functional redundancy
Gene signatures are more and more used to interpret results of omics data analyses but suffer from compositional (large overlap) and functional (correlated read-outs) redundancy. Moreover, many gene signatures...
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Article
Open AccessDetermining the optimal number of independent components for reproducible transcriptomic data analysis
Independent Component Analysis (ICA) is a method that models gene expression data as an action of a set of statistically independent hidden factors. The output of ICA depends on a fundamental parameter: the nu...