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metabolomics-normalization

Official

Standardize metabolomics data.

Data & Analytics#metabolomics#data processing#statistics#transformation#normalization#scaling
AuthorTianGzlab
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the critical need to standardize metabolomics data, mitigating issues like run-order effects and instrument drift that skew analytical results.

Core Features & Use Cases

  • Data Transformation: Applies various mathematical transformations (e.g., Log2) to stabilize distributions.
  • Sample Scaling: Corrects for intrabatch variations using methods like Median, Quantile, Total Ion Count (TIC), and Probabilistic Quotient Normalization (PQN).
  • Use Case: Prepare your raw metabolomics feature table for downstream statistical analysis by applying Total Ion Count normalization and then Log2 transformation to ensure data comparability across samples.

Quick Start

Normalize the metabolomics data in 'my_data.csv' using the median method and save the results to the 'output' directory.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: metabolomics-normalization
Download link: https://github.com/TianGzlab/OmicsClaw/archive/main.zip#metabolomics-normalization

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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