Table 1 Parameters of the hierarchical gamma-negative binomial (hGNB) model and their interpretations in the context of scRNA-seq data
From: Bayesian gamma-negative binomial modeling of single-cell RNA sequencing data
Parameter | Constraint | Interpretation |
|---|---|---|
rj | rj>0 | Expression heterogeneity of genes in sample j |
Ï•vk | \(\sum _{v=1}^{V} \phi _{vk}=1, \phi _{vk}>0\) | Gene-latent factor association |
θjk | θkj>0 | Popularity of factor k in sample j |
βvp | \(\beta _{vp} \in \mathbb {R}\) | Impact of cell covariate p on expression of gene v |
δjq | \(\beta _{vp} \in \mathbb {R}\) | Impact of gene covariate q on expression of cell j |