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

The document discussed the development of scINSIGHT, a method designed to interpret single-cell RNA sequencing (scRNA-seq) data from biologically heterogeneous samples. Unlike existing batch effect removal methods, scINSIGHT was tailored to handle samples from multiple biological conditions, allowing for the identification of common and specific gene expression patterns. The method was evaluated against state-of-the-art techniques using both simulated and real data, demonstrating superior performance. The study highlighted scINSIGHT's potential applications in various biomedical and clinical contexts.