Integrating zero-inflation correction and transcriptional kinetics for single-cell transcriptomic analysis.

A zero-inflated telegraph model improves single-cell transcriptomic analysis by accurately capturing bimodal gene expression and estimating transcriptional burst parameters.

• Why it matters: Addressing zero inflation and transcriptional burst-driven bimodality is crucial for precise gene regulation studies, yet existing models often neglect these factors, limiting biological insights.
• What they did: The study developed and validated a zero-inflated telegraph model using synthetic and real scRNA-seq data from humans and mice, demonstrating superior fit and inference accuracy.
• The result: This approach enhances detection of differentially expressed genes, especially in small samples, and identifies disease-related genes, enabling more reliable and interpretable single-cell analyses.