DePTH provides neural network models for sequence-based TCR and HLA association prediction
3 maintainers
Metadata
3 maintainers
Release files for DePTH 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| depth-2.1.0.tar.gz | 101.7 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| depth-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 203.5 MB
Release files / depth-2.1.0.tar.gz
| Download URL | depth-2.1.0.tar.gz |
|---|---|
| Size | 101.7 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
776d27ef42b5d8abaa7a38cd22fe8a8ce11a589edfd9270e0709cb67642f86e0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.23
|
Release files / depth-2.1.0-py3-none-any.whl
| Download URL | depth-2.1.0-py3-none-any.whl |
|---|---|
| Size | 101.8 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9e290b757b10d5bb0082dc7f1b98126529a635ae67af22e9ccfbe0e2b8db68b8
|
|
BLAKE2b-256 checksum How to use checksums |
705e1c33160842971ca5b0e4dec5c5fcd490adf7942eb7615ea1ac472a86ce04
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.23
|
