Tianyi Sun

scCDC detects and corrects contamination in scRNA-seq and snRNA-seq data by identifying contamination-causing genes, achieving better accuracy than existing methods.

The paper introduces scDesign3, a statistical simulator that generates realistic single-cell and spatial omics data and infers biologically meaningful parameters for benchmarking computational tools.

The paper discusses the controversy around zero-inflation in scRNA-seq data, evaluates impacts of non-biological zeros, and benchmarks different data types.

scDesign2 generates high-fidelity synthetic single-cell gene expression data with gene correlations, enabling benchmarking of experimental protocols and computational methods.