Independent component analysis (ICA) is a signal processing algorithm that outperforms other methods for the extraction of biologically meaningful regulatory modules from gene expression data (Sastry et al.). When applied to large, high-quality RNA-seq datasets such as this one, ICA can extract independently modulated groups of genes known as iModulons. To learn more about the experimental conditions associated with each sample in this dataset, click the Projects tab in the navigation bar.
Phylogeny