PoweREST

PoweREST supports statistical power estimation for spatial transcriptomics experiments to detect differentially expressed genes between two conditions.

Key Features:

• Bootstrap resampling: Power calculation for detecting differentially expressed genes uses bootstrap resampling methodology.
• Pre-experiment power estimation: Power estimation is enabled before any spatial transcriptomics experiments are conducted.
• Post-data power estimation: Power estimation is enabled after preliminary data are collected.
• Interactive visualization: Results are visualized interactively with relevant parameters.

Scientific Applications:

• Differential expression analysis: Power calculation supports detection of differentially expressed genes under different conditions using 10X Genomics Visium spatial transcriptomics data.
• Study design optimization: Maximization of available resources achieves robust statistical power for spatial transcriptomics data given high costs of data generation.

Methodology:

Bootstrap resampling.