Fennet
Deep learning for multi-dimensional proteomics
mhc
For development: In linux, if you clone the project in local and work in conda virtual environment, when encountering ModuleNotFoundError: No module named 'fennet'， you can execute export PYTHONPATH=$PYTHONPATH:/path/to/Fennet/ in terminal and retry fennet command line tools.
1 maintainer
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1 maintainer
Release files for fennet 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 | |
|---|---|---|---|
| fennet-0.0.1.tar.gz | 40.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fennet-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.7 kB
Release files / fennet-0.0.1.tar.gz
| Download URL | fennet-0.0.1.tar.gz |
|---|---|
| Size | 40.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.12
|
Release files / fennet-0.0.1-py3-none-any.whl
| Download URL | fennet-0.0.1-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
cf500323516c8ca42a7e8ac9820c257b177ca895bdd0501960c11a98dcfb16ce
|
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BLAKE2b-256 checksum How to use checksums |
9cee7a169c360b16433cf783d5d177e4769d08014a33ea1720175468f99754e1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.12
|
