Fig. 1
From: scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
An overview of the scINSIGHT method. A A toy example demonstrating the factorization model of scINSIGHT. In this example, we assume six single-cell samples from three biological conditions. Each sample, represented as a gene expression matrix (Xℓ,ℓ=1,…,6), is factorized into two components, the expression of two condition-specific gene modules (\(\phantom {\dot {i}\!}W_{\ell 1}\times H_{j_{\ell }}\)) and the expression of three common gene modules (Wℓ2×V) (see Methods for details). B After normalization (Methods), the inferred expression of common gene modules can be used to cluster cells and annotate cell types or states. C The inferred condition-specific gene modules can be used to compare the transcriptome functions between conditions