A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data.

Simulation studies demonstrate that our methodology has high power in identifying gene-gene associations while maintaining a nominal false discovery rate. In real data analyses, our model identifies more known and predicted protein-protein interactions than other competing network models.