【源码】scGEAToolbox：单细胞RNA序列数据分析的Matlab工具箱

单细胞RNA测序（scRNA-seq）技术彻底改变了生物医学研究的方式。

Single-cell RNA sequencing (scRNA-seq) technology has revolutionized the way research is done in biomedical sciences.

为研究细胞异质性和基因表达变异性提供了前所未有的分辨率。

It provides an unprecedented level of resolution across individual cells for studying cell heterogeneity and gene expression variability.

然而，由于数据的稀疏性和高维性，分析scRNA序列数据具有挑战性。

Analyzing scRNA-seq data is challenging though, due to the sparsity and high dimensionality of the data.

我开发了scGEAToolbox—一个用于scRNA序列数据分析的Matlab工具箱。

I developed scGEAToolbox—a Matlab toolbox for scRNA-seq data analysis.

它包含一套完整的数据规范化、特征选择、批量校正、插补、细胞聚类、轨迹/伪时间分析和网络构建等功能，这些功能可以组合并集成到定制工作流中。

It contains a comprehensive set of functions for data normalization, feature selection, batch correction, imputation, cell clustering, trajectory/pseudotime analysis, and network construction, which can be combined and integrated to building custom workflow.

虽然大多数函数都是在本地Matlab中实现的，但是提供了包装器函数，允许用户调用Matlab或其他语言开发的“第三方”工具。

While most of the functions are implemented in native Matlab, wrapper functions are provided to allow users to call the “third-party” tools developed in Matlab or other languages.

此外，scGEAToolbox配备了由App Designer生成的复杂图形用户界面（GUI），使其成为一个易于使用的快速数据处理应用程序。

Furthermore, scGEAToolbox is equipped with sophisticated graphical user interfaces (GUIs) generated with App Designer, making it an easy-to-use application for quick data processing

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