AMICI: Attention Mechanism Interpretation of Cell-cell Interactions
Cross-attention-based cell-cell interaction inference from ST data.
Installation
You need to have Python 3.10 or newer installed on your system. If you don't have Python installed, we recommend installing Mambaforge.
Install the latest development version via the following command:
pip install git+https://github.com/azizilab/amici.git@main
We plan on releasing AMICI on PyPI in the near future.
Documentation
Documentation and tutorials are coming soon!
Citation
t.b.a
Disclaimer
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Justin Hong, Khushi Desai, and Elham Azizi are inventors on a provisional patent application having U.S. Serial No. 63/884,704, filed on September 19, 2025, by The Trustees of Columbia University in the City of New York directed to the subject matter of the manuscript associated with this repository.
1 maintainer
Release files for amici-st 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| amici_st-0.1.0.tar.gz | 45.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| amici_st-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:102.9 kB
Release files / amici_st-0.1.0.tar.gz
| Download URL | amici_st-0.1.0.tar.gz |
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| Size | 45.4 kB |
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Release files / amici_st-0.1.0-py3-none-any.whl
| Download URL | amici_st-0.1.0-py3-none-any.whl |
|---|---|
| Size | 57.6 kB |
| Tags | Python 3 |
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