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  1. Article

    Open Access

    Classification 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...

    Laura Cantini, Laurence Calzone in npj Systems Biology and Applications (2017)

  2. Article

    Open Access

    Determining 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...

    Ulykbek Kairov, Laura Cantini, Alessandro Greco, Askhat Molkenov in BMC Genomics (2017)