topometry
importedsoftware/topometry
Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/davisidarta/topometry
- Documentation
- unknown
- Tags
- clustering · data-science · data-visualization · dimensionality-reduction · graph · graph-layout · hypothesis-generation · laplace-beltrami · machine-learning · manifold-learning · scikit-learn · scrnaseq · scrnaseq-analysis · single-cell · visualization
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- dbMAPdimensionality-reduction · graph-layout · single-cell
Deprecated in favour of TopoMetry: https://github.com/davisidarta/topometry
- scDHMapdimensionality-reduction · manifold-learning · single-cell · visualization
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
- FlowAtlas.jlclustering · dimensionality-reduction · single-cell
an interactive explorer for flow cytometry data
- irescuescrnaseq · single-cell
Uncertainty-aware quantification of Transposable Elements expression in scRNA-seq at locus- or subfamily-level
- scClustVizscrnaseq · single-cell
Explore and share your scRNAseq clustering results
- Yeskitclustering · single-cell · visualization
Yet another single-cell analysis toolkit
- api.github.com/repos/davisidarta/topometryretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-08-17, 107 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/28.json→ .entries["topometry"]
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