Data Science & Analytics

Bio Single Cell Clustering

Dimensionality reduction and clustering for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for running PCA, computing neighbors, clustering with Leiden/Louvain algorithms, generating UMAP/tSNE embeddings, and visualizing clusters. Use when performing dimensionality reduction and clustering on single-cell data.

Publisher / source

FreedomIntelligence/OpenClaw-Medical-Skills (found on GitHub top repositories)

Upstream record

FreedomIntelligence/OpenClaw-Medical-Skills

Version

Version 1

Published

2026-11-06

Publication review

Approved for publication · recorded passed scan 2026-11-06

Content fingerprint

68c1eebda28e5c39cd24fa5d681edc5dc111c18bb40f444a7f49c388e0afcdd4