This repository contains various experimental codes to explore and process LC-MS feature data. Most of the codes are done in Python using Numpy/Scipy. Sometimes you'd see Matlab.
Explanations:
- AdductLevels contains adduct stuff.
- alignment contains some alignment experiments.
- discretisation contains various models to cluster peak features after discretised, based on their mass relationships etc.
- precursor_clustering don't know what it's for