bio-causal-genomics-pleiotropy-detection
byfreedomintelligence· 44 skills
Detect and correct for horizontal pleiotropy in Mendelian randomization analyses using MR-PRESSO for outlier removal, MR-Egger regression for directional pleiotropy, and Steiger filtering for variant directionality. Use when validating MR results, detecting pleiotropic instruments, or running sensitivity analyses for causal inference.
How to install bio-causal-genomics-pleiotropy-detection?
freedomintelligence/openclaw-medical-skills/bio-causal-genomics-pleiotropy-detection
$npx -y skills add freedomintelligence/openclaw-medical-skills --skill bio-causal-genomics-pleiotropy-detectionInstalls into the current project.
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Run `npx skills use "https://github.com/freedomintelligence/openclaw-medical-skills" --skill "freedomintelligence/openclaw-medical-skills/bio-causal-genomics-pleiotropy-detection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/freedomintelligence/openclaw-medical-skills" that are relevant to the current task. Run `npx skills add "https://github.com/freedomintelligence/openclaw-medical-skills"` and select the relevant skills, then follow their instructions.
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