ScINSIGHT for Interpreting Single-Cell Gene Expression from Biologically Heterogeneous Data

The study introduced scINSIGHT, a method designed to interpret single-cell gene expression from biologically heterogeneous data, addressing the limitations of existing batch effect removal methods. scINSIGHT aimed to identify coordinated gene expression patterns common or specific to various biological conditions, facilitating the identification of cellular identities and key biological processes. The method was evaluated against state-of-the-art techniques using both simulated and real data, consistently showing improved performance. The results demonstrated scINSIGHT's applicability in diverse biomedical and clinical contexts.