Single-cell RNA sequencing technologies have been pivotal in advancing the development of algorithms for clustering heterogeneous cell populations. Existing methods for utilizing scRNA-seq data to identify cell types tend to neglect the beneficial impact of dropout events and perform clustering focusing solely on quantitative perspective. Here. we introduce a novel method named scQA. https://www.spidertattooz.com/Horse-Painting-3-Piece-HD-Multi-Panel-Canvas-Wall-Art-Frame/