bioinformaticsresearch
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.
maintainer
GPTomics
更新於 2/13/2026
星標
471
分支
81
quick start
Installation and usage
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.
安裝
$ install --globalskills.sh
使用
安裝後,您可以通過在終端運行以下命令來使用此技能:
skills use bio-single-cell-preprocessing