POWSC

POWSC provides power evaluation and sample size recommendation for single-cell RNA sequencing differential expression analysis through simulation-based methods.

Key Features:

• Data Simulator: Creates realistic single-cell RNA-seq expression data that accounts for sparsity and heterogeneity.
• Power Assessor: Provides comprehensive evaluation and visualization of the relationship between power and sample size.

Scientific Applications:

• Study Design for scRNA-seq: Enables researchers to determine adequate sample sizes for differential expression analysis in single-cell RNA sequencing experiments.
• Power Analysis: Evaluates statistical power for detecting significant differential expression in single-cell transcriptomics studies.

Methodology:

POWSC uses a simulation-based method consisting of a data simulator that creates realistic expression data and a power assessor that evaluates and visualizes power and sample size relationships.