spectral-peak-intensity-normalization - Normalize m/z peak intensities across LC-MS/MS samples.
Normalize m/z peak intensities across LC-MS/MS samples to account for batch effects, sample concentration differences, and technical variation.
Tags
Updated: 2026-09-21Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Correct batch and concentration variation
- Filter low-intensity m/z features
- Normalize peak intensity data
- Transform peak intensity data
- Scale peak intensity data
- Impute missing intensity values
- Plot pre- and post-normalization distributions
Inputs
- m/z peak table
- sample metadata file
- batch identifiers
- sample concentration values
Outputs
- batch-corrected feature table
- filtered feature table
- normalized peak intensity matrix
Requirements
- R environment
- MetaboShiny package
- Docker platform