proteomics-clock
CommunityPredict organ-specific biological age from Olink proteomic data
AuthorMubasherMohammed
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill predicts organ-specific biological age from Olink proteomic data, enabling researchers to understand the biological aging process at a molecular level.
Core Features & Use Cases
- Organ Aging Prediction: Computes biological age for 23 different organs using the Goeminne et al. (2025) elastic net aging clocks.
- Input Formats: Accepts Olink NPX protein expression tables in CSV, TSV, and compressed formats.
- Output: Provides a structured report with age predictions, missing protein reports, and visualizations.
- Use Case: Researchers can use this Skill to analyze proteomic data and assess the biological age of specific organs, which can be useful in understanding aging processes and disease progression.
Quick Start
Run the 'proteomics-clock' skill with the input file 'olink_data.csv' and specify the desired organs and generation (e.g., 'Heart,Brain,Kidney --generation gen1 --output output_dir').
Dependency Matrix
Required Modules
pandasnumpymatplotlibseabornrequests
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: proteomics-clock Download link: https://github.com/MubasherMohammed/opencode-BioInfo/archive/main.zip#proteomics-clock Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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