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MXFDA:用于单细胞空间数据功能数据分析的综合工具包。

mxfda: a comprehensive toolkit for functional data analysis of single-cell spatial data.

作者信息

Wrobel Julia, Soupir Alex C, Hayes Mitchell T, Peres Lauren C, Vu Thao, Leroux Andrew, Fridley Brooke L

机构信息

Department of Biostatistics & Bioinformatics, Emory University, Atlanta, GA 30322, United States.

Department of Biostatistics & Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, United States.

出版信息

Bioinform Adv. 2024 Nov 13;4(1):vbae155. doi: 10.1093/bioadv/vbae155. eCollection 2024.

Abstract

SUMMARY

Technologies that produce spatial single-cell (SC) data have revolutionized the study of tissue microstructures and promise to advance personalized treatment of cancer by revealing new insights about the tumor microenvironment. Functional data analysis (FDA) is an ideal analytic framework for connecting cell spatial relationships to patient outcomes, but can be challenging to implement. To address this need, we present mxfda, an R package for end-to-end analysis of SC spatial data using FDA. mxfda implements a suite of methods to facilitate spatial analysis of SC imaging data using FDA techniques.

AVAILABILITY AND IMPLEMENTATION

The mxfda R package is freely available at https://cran.r-project.org/package=mxfda and has detailed documentation, including four vignettes, available at http://juliawrobel.com/mxfda/.

摘要

摘要

能够生成空间单细胞(SC)数据的技术彻底改变了组织微观结构的研究,并有望通过揭示肿瘤微环境的新见解来推动癌症的个性化治疗。功能数据分析(FDA)是将细胞空间关系与患者预后联系起来的理想分析框架,但实施起来可能具有挑战性。为满足这一需求,我们展示了mxfda,这是一个用于使用FDA对SC空间数据进行端到端分析的R包。mxfda实现了一套方法,以促进使用FDA技术对SC成像数据进行空间分析。

可用性和实现方式

mxfda R包可在https://cran.r-project.org/package=mxfda上免费获取,并且在http://juliawrobel.com/mxfda/上有详细的文档,包括四个 vignette。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6480/11568348/c81db3f05234/vbae155f1.jpg

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