metabolicexpimputation

Features and purpose

Imputes missing/dropout values in scRNA-seq expression data to improve metabolic pathway analysis. This process handles sparsity common in single-cell RNA sequencing data by filling in zero values using advanced imputation methods (ALRA, scImpute, or MAGIC). The imputed data provides more accurate metabolic pathway activity calculations and feature selection in downstream analysis.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.