Zhe Wang

SCTK2.0 provides an integrated toolkit for scRNA-seq analysis with a graphical interface, enabling non-programmers to perform end-to-end workflows and generate reproducible reports.

Celda identifies transcriptional modules and cell subpopulations in scRNA-seq data, outperforming existing methods in detecting biological programs and cell types.

The paper introduces a pipeline for generating, visualizing, and reporting quality control metrics for scRNA-seq data, improving standardization across platforms.

DecontX is a Bayesian method to remove ambient RNA contamination in scRNA-seq data, improving cell cluster separation and marker gene accuracy.

scruff is an R/Bioconductor package that preprocesses scRNA-seq data from CEL-Seq protocols, providing quality metrics and visualizations for reproducible analysis.