Pseudotime-conditioned diffusion models for imputing time-series single-cell data
This work proposes the first pseudotime-conditioned diffusion-based imputation framework for time-series scRNA-seq data, consisting of two trajectory-aware models: pseudotime-conditioned conditional score-based diffusion imputation (P-CSDI) and pseudotime-conditioned hybrid-noise CSDI (PH-CSDI).