Bayesian segmented Gaussian copula factor model for single-cell sequencing data
单细胞测序数据的贝叶斯分段高斯 Copula 因子模型
Single-cell sequencing technologies have significantly advanced molecular and cellular biology, offering unprecedented insights into cellular heterogeneity by allowing for the measurement of gene expression at an individual cell level. However, the analysis of such data is challenged by the prevalence of low counts due to dropout events and the skewed nature of the data distribution, which conventional Gaussian factor models struggle to handle effectively. To address these…