C0nc/TAICHI
A Python package for the Scalable and accurate identification condition-relevant niches from spatial -omics data.
This project helps biological researchers analyze complex spatial omics data to automatically pinpoint specific cellular environments, or 'niches,' that are relevant to a particular biological condition or disease. It takes raw or processed spatial omics datasets (like STARmap, MERFISH, Slice-seq, or CODEX data) and identifies these condition-relevant niches, providing a foundation for further downstream analysis. Researchers in cell biology, disease pathology, and drug discovery would use this tool.
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Use this if you need to identify and analyze specific cellular microenvironments that are linked to different biological conditions directly from your spatial omics data.
Not ideal if you are working with bulk omics data or require purely visualization tools without condition-relevant niche identification.
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Nov 04, 2024
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