
==== Front
bioRxiv
BIORXIV
bioRxiv
2692-8205
Cold Spring Harbor Laboratory

10.1101/2024.08.30.610564
preprint
1
Article
PoweREST: Statistical Power Estimation for Spatial Transcriptomics Experiments to Detect Differentially Expressed Genes Between Two Conditions
Shui Lan http://orcid.org/0000-0002-2719-842X

Maitra Anirban http://orcid.org/0000-0001-7923-9978

Yuan Ying
Lau Ken http://orcid.org/0000-0001-8438-0319

Kaur Harsimran http://orcid.org/0000-0003-2667-1091

Li Liang http://orcid.org/0000-0001-5453-3839

Li Ziyi http://orcid.org/0000-0001-8359-0533

the Translational and Basic Science Research in Early Lesions (TBEL) Program
01 9 2024
2024.08.30.610564https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License, which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
http://biorxiv.org/lookup/doi/10.1101/2024.08.30.610564
nihpp-2024.08.30.610564.pdf
Recent advancements in Spatial Transcriptomics (ST) have significantly enhanced biological research in various domains. However, the high cost of current ST data generation techniques restricts its application in large-scale population studies. Consequently, there is a pressing need to maximize the use of available resources to achieve robust statistical power. One fundamental question in ST analysis is to detect differentially expressed genes (DEGs) among different conditions using ST data. Such DEG analysis is often performed but the associated power calculation is rarely discussed in the literature. To address this gap, we introduce, PoweREST ( https://github.com/lanshui98/PoweREST ), a power estimation tool designed to support power calculation of DEG detection with 10X Genomics Visium data. PoweREST enables power estimation both before any ST experiments or after preliminary data are collected, making it suitable for a wide variety of power analyses in ST studies. We also provide a user-friendly, program-free web application ( https://lanshui.shinyapps.io/PoweREST/ ), allowing users to interactively calculate and visualize the study power along with relevant the parameters.
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