CytoSummaryNet
A PyTorch-based deep learning library for learning an optimal way to aggregate single-cell features into population-level profiles.
Installation
pip install cytosummarynet
Quick Start
To try out CytoSummaryNet with sample data:
- Generate sample data:
python examples/generate_sample_data.py
- Run the example pipeline:
python examples/example_pipeline.py
This will create a sample dataset and train a model using the default parameters.
Metadata
Release files for cytosummarynet 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cytosummarynet-0.0.4.tar.gz | 42.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cytosummarynet-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 49.2 kB
Release files / cytosummarynet-0.0.4.tar.gz
| Download URL | cytosummarynet-0.0.4.tar.gz |
|---|---|
| Size | 42.7 kB |
| Tags | Source |
|
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
uv/0.5.1
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Release files / cytosummarynet-0.0.4-py3-none-any.whl
| Download URL | cytosummarynet-0.0.4-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.1
|