Use when working with scPrediXcan — a TWAS (Transcriptome-Wide Association Study) framework that extends PrediXcan to single-cell resolution using sc-eQTL prediction models. Maps GWAS loci to cell-typ
Use with AI
Install the MCP server or CLI to instantly fetch scPrediXcan documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/scpredixcan
Use when working with CellRegMap — a Python framework for mapping context-specific genetic effects (sc-eQTL) in single-cell RNA-seq data. CellRegMap models genotype × cell-state interactions using a l
2 shared topics • 2 shared operations
Use when working with eQTL Catalogue — a uniformly processed, open-access resource of expression quantitative trait loci (eQTL) summary statistics from 100+ studies across bulk tissues, primary cell t
2 shared topics • 2 shared operations
Use when running Transcriptome-Wide Association Studies (TWAS) with FUSION, integrating GWAS summary statistics with precomputed eQTL expression weights to identify genes whose predicted expression is
1 shared topic • 3 shared operations
PredictDB builds elastic-net genetic prediction models of gene expression stored as SQLite .db files for use with PrediXcan, S-PrediXcan, and S-MultiXcan TWAS workflows. Use this skill for training ex
1 shared topic • 3 shared operations
Use when performing Transcriptome-Wide Association Studies (TWAS) with TIGAR, a nonparametric Bayesian tool from Yang Lab for training gene expression prediction models and testing gene-trait associat
1 shared topic • 3 shared operations