Skip to main content

1 Result(s)

within Laura Cantini Remove this filter Animal Genetics and Genomics Remove this filter

and

  1. 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)

    Download PDF (2807 KB) View Article