theMILOlab
SPATA2
R

A Toolbox for Spatial Transcriptomics Analysis

Last updated Jul 2, 2026
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README

SPATA2

Welcome to SPATA2, a comprehensive toolbox for Spatial Transcriptomics Analysis. For detailed tutorials and examples, please visit our official documentation.

Citation

If you have used SPATA2 for your analysis, please consider citing:

As SPATA2 relies on some processing functions from Seurat, we also recommend citing Hao Y. et al. (2024). Nat Biotechnol, 42, 293–304.

Additionally, depending on the specific functions you utilize, other citations may be appropriate. For instance, the runBayesSpaceClustering() function implements the BayesSpace clustering algorithm: Zhao E. et al. (2021). Nat Biotechnol, 39, 1375–1384.

You can find the necessary references for specific functions in the corresponding documentation, such as ?runBayesSpaceClustering under the "References" section.

License Information

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details.

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