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SVA
Identifying and annotating the sources of hidden variants in scRNA-seq data is an important task in single-cell sequencing data analysis because it is a challenge to explain whether gene expression variables have biological significance. The emergence of V-SVA tools provides a key tool for solving this problem. The SCAN_SVA module provides an efficient interactive window for analysts to use V-SVA, which can help researchers better identify and annotate the hidden variation sources in sc RNA-seq data.(PMID: 32119082)