xqubit
xqubit is a Python package for encoding temporal gene expression profiles as complex-valued state vectors. It provides tools for calculating fidelity between state vectors, constructing fidelity-based gene networks, and detecting gene communities to explore the structure of transcriptomic data.
- Documentation: https://bitdessin.github.io/xqubit
- PyPI: https://pypi.org/project/xqubit
- GitHub: https://github.com/bitdessin/xqubit
1 maintainer
Release files for xqubit 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| xqubit-0.0.1.tar.gz | 26.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| xqubit-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 54.4 kB
Release files / xqubit-0.0.1.tar.gz
| Download URL | xqubit-0.0.1.tar.gz |
|---|---|
| Size | 26.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Release files / xqubit-0.0.1-py3-none-any.whl
| Download URL | xqubit-0.0.1-py3-none-any.whl |
|---|---|
| Size | 28.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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