Metadata-Version: 2.4
Name: frapppe
Version: 0.1.0
Summary: 13C metabolic flux analysis
Author-email: Bartosz Bartmanski <bartosz.bartmanski@embl.de>, Daniel Torka <daniel.torka@embl.de>
License: MIT License
        
        Copyright (c) 2026 Zimmermann-Kogadeeva Group
        
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Project-URL: Homepage, https://git.embl.de/grp-zimmermann-kogadeeva/frapppe
Project-URL: Bug tracker, https://git.embl.de/grp-zimmermann-kogadeeva/frapppe/issues/
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Description-Content-Type: text/markdown
License-File: LICENSE
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Requires-Dist: freeflux>=0.3.6
Requires-Dist: jax>=0.4
Requires-Dist: pandas>=1.5.1
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# FRAPPPE

13C Metabolic Flux Analysis via Flux Sampling and Random Forest Prediction

A Python toolkit for predicting intracellular flux ratios from 13C isotope
labeling data. The package samples the feasible flux solution space of a
metabolic network, simulates the resulting mass distribution vectors (MDVs),
and uses these simulated MDV–flux pairs to train a random forest model —
enabling rapid flux-ratio prediction from experimental MDV measurements.

## Installation

Install with pip:
```
pip install frapppe
```
or with uv:
```
uv add frapppe
```

