SiDoLa-NS
SiDoLa (prounounced like Do Re Mi) is short for "Simulate Don't Label". These are a set of tools to create nervous system simulations and used the resulting models to extract image-based features from biological sections of nervous system tissue.
Citation
BioArxiv coming soon
Getting started
Open the "SiDoLa-NS Training and Inference.ipynb" file for more information and instructions.
Authors and acknowledgment
William Buchser and Lina Mohammed Ali
License
AGPL3.0
1 maintainer
Metadata
1 maintainer
Release files for SiDoLa 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sidola-0.0.3.tar.gz | 25.6 kB | Without provenance | Details for sidola-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| SiDoLa-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for SiDoLa-0.0.3-py3-none-any.whl |
Total release size: 50.8 kB
Release files / sidola-0.0.3.tar.gz
| Download URL | sidola-0.0.3.tar.gz |
|---|---|
| Size | 25.6 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/5.1.1 CPython/3.11.9
|
Release files / SiDoLa-0.0.3-py3-none-any.whl
| Download URL | SiDoLa-0.0.3-py3-none-any.whl |
|---|---|
| Size | 25.1 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|
Security for SiDoLa 0.0.3
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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