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- W2912367158 abstract "Motivation: Single-cell RNA sequencing (scRNA-seq) technology has revolutionized the way research is done in biomedical sciences. It provides an unprecedented level of resolution across individual cells for studying cell heterogeneity and gene expression variability. Analyzing scRNA-seq data is challenging though, due to the sparsity and high dimensionality of the data. Results: We developed scGEAToolbox--a Matlab toolbox for scRNA-seq data analysis, including a comprehensive set of functions for data normalization, feature selection, batch correction, imputation, cell clustering, trajectory inference, and network construction. While most of the functions are implemented in native Matlab language, wrapper functions are also provided to allow Matlab users to call a large number of the third-party tools, which are not necessarily developed in Matlab. Furthermore, scGEAToolbox is equipped with sophisticated graphic user interfaces (GUIs) generated with App Designer, making it an easy-to-use application for quick data filtering, normalization, visualization, as well as downstream functional enrichment analyses. Availability: https://github.com/jamesjcai/scGEAToolbox" @default.
- W2912367158 created "2019-02-21" @default.
- W2912367158 creator A5059360459 @default.
- W2912367158 date "2019-07-21" @default.
- W2912367158 modified "2023-09-28" @default.
- W2912367158 title "scGEAToolbox: a Matlab toolbox for single-cell RNA sequencing data analysis" @default.
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