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bioconductor-treekor

treekoR is a novel framework that aims to utilise the hierarchical nature of single cell cytometry data to find robust and interpretable associations between cell subsets and patient clinical end points. These associations are aimed to recapitulate the nested proportions prevalent in workflows inovlving manual gating, which are often overlooked in workflows using automatic clustering to identify cell populations. We developed treekoR to: Derive a hierarchical tree structure of cell clusters; qua

skills/transcriptomics/treekor/SKILL.md

Source commit c9bd4d8eb6edc5308a8f55e6184dce9e8afadf12

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Nov 4, 2026

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