Core-Bioinformatics/ClustAssess
Tools for assessing clustering robustness
This tool helps biologists and researchers assess the reliability of cell groupings (clusters) found in complex biological datasets, like single-cell RNA-seq. You input your experimental data and existing clustering results, and it outputs visual assessments and metrics that show how robust and consistent your groupings are across different analyses. This helps ensure your biological conclusions are based on stable data patterns, rather than random noise.
Use this if you need to objectively confirm that the clusters you've identified in your biological data, such as cell types, are stable and not an artifact of your chosen analysis method or parameters.
Not ideal if you are looking for a tool to perform the initial clustering of your data rather than validate existing clustering results.
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30
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6
Language
R
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—
Category
Last pushed
Jan 29, 2026
Commits (30d)
0
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