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PoweREST:空间转录学实验的统计功率估计,用于检测两个条件之间的不同表达的基因

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

概括

本研究介绍了PoweREST,这是一个用于估计空间转录学 (ST) 实验中的统计功率的工具. 它有助于研究人员最大限度地利用数据,并在基因表达研究中取得可靠的结果.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

空间转录学 (ST) 推动了生物研究,但高成本限制了大规模研究.
最大限度地利用资源对于在ST分析中实现统计能力至关重要.
检测差异表达基因 (DEGs) 是一个关键的ST分析,但功率计算未得到解决.

研究的目的:

介绍PoweREST,一种用于ST数据的新型功率估计工具.
为了使用10X Genomics Visium数据实现DEG检测的功率计算.
为了支持实验前和初步数据的功率分析.

主要方法:

开发PoweREST,用于ST数据的功率估计工具.
实现一个用户友好的,无程序的互动功率计算的Web应用程序.
专注于10X基因组学Visium数据用于DEG检测功率分析.

主要成果:

在ST研究中,PoweREST促进了用于DEG检测的功率估计.
该工具支持ST实验设计的各个阶段的功率计算.
一个Web应用程序允许交互可视化研究功率和参数.

结论:

PoweREST解决了在ST DEG分析中对功率计算的需求.
该工具增强了空间转录学研究的统计稳定性.
可访问的功率分析工具对于具有成本效益的大规模ST研究至关重要.

关键词:

不同表达的基因.闪闪发光的应用程序空间转录组学空间转录组学统计力分析的统计力分析.

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