Cellograph
Cellograph is a graph neural network model that uses a two-layer graph convolutional network to analyze single-cell RNA sequencing data (but can extended to other single-cell modalities). More details can be found in [Shahir et al, 2023].
To learn how to implement Cellograph, take a look at our tutorial here.
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Release files for cellograph 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cellograph-0.0.6.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cellograph-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.9 kB
Release files / cellograph-0.0.6.tar.gz
| Download URL | cellograph-0.0.6.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.8.13
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Release files / cellograph-0.0.6-py3-none-any.whl
| Download URL | cellograph-0.0.6-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.13
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