knn-imputation
Use when filtering genes with high missingness and then imputing missing values in a bulk expression matrix with group-aware KNN through DMwR2, where donor samples are restricted by one annotation column before imputation. For strata with 10 or fewer samples, the script falls back to row-wise direct filling with mean or median. NOT for: single-cell data, multi-column stratification, non-tabular inputs, network access, or interactive workflows.
What is this resource?
Use when filtering genes with high missingness and then imputing missing values in a bulk expression matrix with group-aware KNN through DMwR2, where donor samples are restricted by one annotation column before imputation. For strata with 10 or fewer samples, the script falls back to row-wise direct filling with mean or median. NOT for: single-cell data, multi-column stratification, non-tabular inputs, network access, or interactive workflows.
Review the original project for installation steps, licenses, compatibility and updates. This directory provides discovery links, not downloadable or verified code.
Installation
For repositories supported by the Skills CLI, you can typically start with:
npx skills add aipoch/medical-research-skillsCheck the repository instructions and select the intended skill before installing. This command may not apply to every source.
Safety & attribution
This is an external resource, not independently security-audited by this directory. Inspect permissions, scripts and changes before using it with your files or accounts.