Data Science & Analytics
Bio Single Cell Preprocessing
Quality control, filtering, and normalization for single-cell RNA-seq using Seurat (R) and Scanpy (Python). Use for calculating QC metrics, filtering cells and genes, normalizing counts, identifying highly variable genes, and scaling data. Use when filtering, normalizing, and selecting features in single-cell data.
- Publisher / source
- FreedomIntelligence/OpenClaw-Medical-Skills (found on GitHub top repositories)
- Upstream record
- FreedomIntelligence/OpenClaw-Medical-Skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-06
- Content fingerprint
4104ac0d01982f27b0091dbd6a3a560f6a62a6da9c72ae07d297f986b2561488