MintFlow (Microenvironment-induced and INtrinsic Transcriptomic FLOWs) is a package to generate disentangled microenvironment-induced and intrinsic gene expression vectors from spatial transcriptomics data. It interoperates with the scverse ecosystem to enable seamless analysis workflows of spatial transcriptomics data.
Installation
Install MintFlow via pip:
pip install mintflow
For more detailed instructions, visit our documentation.
It's highly recommended to setup wandb when training your own MintFlow models.
To do so:
- Go to wandb and create an account.
- Create a project called "MintFlow".
Resources
- An installation guide, tutorials and API documentation is available in the documentation.
- Please use issues to submit bug reports.
- If you would like to contribute, check out the contributing guide.
- If you find MintFlow useful for your research, please consider citing the MintFlow manuscript.
Reference
@article{Akbarnejad2025,
author = {Akbarnejad, A. et al.},
title = {Mapping and reprogramming microenvironment-induced cell states in human disease using generative AI},
journal = {bioRxiv},
year = {2025},
doi = {10.1101/2025.06.24.661094},
url = {https://doi.org/10.1101/2025.06.24.661094}
}
Metadata
Release files for mintflow 0.3.0
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Source distribution (sdist)
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|---|---|---|---|---|
| mintflow-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.9 MB
Release files / mintflow-0.3.0.tar.gz
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| Tags | Source |
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| Size | 2.9 MB |
| Tags | Python 3 |
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