bio-data-visualization-dimensionality-reduction-plots SKILL.md skillA
bio-data-visualization-dimensionality-reduction-plots from pku-yuangroup/openai4s is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pku-yuangroup/openai4s/bio-data-visualization-dimensionality-reduction-plots@git:20260821.2d1b678Pins git:20260821.2d1b678 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pku-yuangroup/openai4s
- Path
skills/bioskills/bio-data-visualization-dimensionality-reduction-plots/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260821.2d1b678, committed Aug 21, 2026
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- 19,610 bytes
- Repository stars
- 662
- License
- MIT
Produce and interpret PCA, t-SNE, UMAP, and PHATE plots for high-dimensional omics data with rigor about which method preserves what (variance, local structure, manifold, transitions), hyperparameter sensitivity, and the well-documented limits of 2D embeddings. Covers PCA biplot/scree/loadings, t-SNE PCA initialization (Kobak-Berens 2019), UMAP n_neighbors/min_dist trade-offs, and the Chari-Pachter 2023 critique. Use when visualizing high-dimensional data — bulk PCA, single-cell embeddings…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Version Compatibility
Reference examples tested with: scanpy 1.10+, anndata 0.10+, scikit-learn 1.4+, umap-learn 0.5+, openTSNE 1.0+, phate 1.0+, ggplot2 3.5+, PCAtools 2.16+, matplotlib 3.8+.
Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show <package>` then `help(module.function)` to check signatures
- R: `packageVersion('<pkg>')` then `?function_name` to verify parameters
If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.
# Dimensionality-Reduction Plots
**"Make a PCA / UMAP / t-SNE plot"** -> Choose a projection method aligned with what the plot must reveal — variance explained (PCA), local neighborhood structure (t-SNE), manifold approximation with some global structure (UMAP), or continuous transitions (PHATE). Set hyperparameters deliberately. Communicate the projection's limits and refuse to over-interpret 2D distances.
- Python: `sklearn.decomposition.PCA`, `openTSNE`, `umap-learn`, `phate`, `scanpy.tl.umap` / `scanpy.tl.tsne` / `scanpy.tl.pca`
…Read the whole file at its exact version.
How to install
mdr add pku-yuangroup/openai4s/bio-data-visualization-dimensionality-reduction-plots@sha256:a10db397db8c1fe6The line at the top of this page pins the label git:20260821.2d1b678, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_zv4onpwhfpq5fvbu)
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Versions
The registry has recorded 1 version of this file, committed on Aug 21, 2026.
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Source
pku-yuangroup/openai4s · 662 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zv4onpwhfpq5fvbu GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-data-visualization-dimensionality-reduction-plots GET https://markdownregistry.com/api/v1/blob/a10db397db8c1fe6df7fbf638c1b7434eedf24af23eeed1be70cac44b8dc055e
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.