Use this skill for SCTransform normalization of single-cell RNA-seq count matrices. Route here when users ask about variance stabilizing transformation (VST), regularized negative binomial regression
Use with AI
Install the MCP server or CLI to instantly fetch SCTransform documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/sctransform
DecontX — R/Bioconductor method in the celda package for estimating and removing ambient RNA contamination from droplet-based single-cell RNA-seq data. Uses a Bayesian Dirichlet mixture model over cel
3 shared topics • 2 shared operations
Use when working with openCyto — the Bioconductor framework for automated, reproducible flow cytometry gating. Applies hierarchical gating strategies defined in a CSV template to GatingSet objects (fl
3 shared topics • 2 shared operations
Splatter is an R/Bioconductor package for simulating single-cell RNA-seq (scRNA-seq) count data. Use when users need to generate synthetic scRNA-seq datasets for benchmarking clustering, trajectory, o
3 shared topics • 2 shared operations
SymSim is an R package for simulating single-cell RNA sequencing (scRNA-seq) data using a mechanistic two-stage kinetic model. Use when users need to generate realistic synthetic scRNA-seq datasets wi
3 shared topics • 2 shared operations
CytoTRACE -- computational method for predicting relative differentiation state of cells from single-cell RNA-seq data. Uses gene counts (number of detectably expressed genes per cell) as a robust pro
3 shared topics • 1 shared operation