Inferring gene expression models from snapshot RNA data
C. Moyer, Z. Kilic, M. C. Schweiger, D. P. Shepherd, S. P. Presse
The paper introduces a Bayesian nonparametric method to infer gene networks from single-cell RNA data by simultaneously learning gene states, connectivities, and rate parameters.
bioRxiv · May 28, 2022 · PreprintBiophysics