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Updated: Jun 22, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

PoweREST: Statistical Power Estimation for Spatial Transcriptomics Experiments to Detect Differentially Expressed

Lan Shui¹, Anirban Maitra², Ying Yuan¹

¹Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Biorxiv : the Preprint Server for Biology

|September 11, 2024

Summary

This summary is machine-generated.

This study introduces PoweREST, a tool for estimating statistical power in spatial transcriptomics (ST) experiments. It helps researchers maximize data utility and achieve robust results in gene expression studies.

Keywords:

Differentially expressed genes Shiny app Spatial transcriptomics Statistical power analysis

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Last Updated: Jun 22, 2026

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Spatial transcriptomics (ST) advances biological research but high costs limit large-scale studies.
Maximizing resource utilization is crucial for achieving statistical power in ST analyses.
Detecting differentially expressed genes (DEGs) is a key ST analysis, yet power calculation is under-addressed.

Purpose of the Study:

To introduce PoweREST, a novel power estimation tool for ST data.
To enable power calculation for DEG detection using 10X Genomics Visium data.
To support power analysis both before experiments and with preliminary data.

Main Methods:

Development of PoweREST, a power estimation tool for ST data.
Implementation of a user-friendly, program-free web application for interactive power calculation.
Focus on 10X Genomics Visium data for DEG detection power analysis.

Main Results:

PoweREST facilitates power estimation for DEG detection in ST studies.
The tool supports power calculations at various stages of ST experimental design.
A web application allows interactive visualization of study power and parameters.

Conclusions:

PoweREST addresses the need for power calculation in ST DEG analysis.
The tool enhances the statistical robustness of spatial transcriptomics studies.
Accessible power analysis tools are vital for cost-effective large-scale ST research.