Accurate sample deconvolution of pooled snRNA-seq using sex-dependent gene expression patterns
Guy Twa, Robert A Phillips, Nathaniel J Robinson, Jeremy J. Day
This study demonstrates using sex-dependent gene expression patterns to accurately deconvolve pooled snRNA-seq data, achieving 93-95% accuracy in cell sex classification.
NAR Genomics and Bioinformatics · Oct 7, 2025Peer-reviewedGenomics