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# The supporting Python package of SAVER-X
This package is designed to be used by the R code of [SAVER-X](https://github.com/jingshuw/SAVERX). It contains simplified code from the python [dca](http://github.com/theislab/dca) package and the new Python code for transfer learning.
One can also use this Python package for pre-training using public data. Instructions on pre-training will come out soon.
## Installation:
` pip install sctransfer ` The package only supports Python (>=3.5).
Update: the package now works with tensorflow 2.
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Release files for sctransfer 0.0.8
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sctransfer-0.0.8.tar.gz | 13.7 kB | Without provenance | Details for sctransfer-0.0.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sctransfer-0.0.8-py3-none-any.whl | Python 3 | none | any | Details for sctransfer-0.0.8-py3-none-any.whl |
Total release size: 33.9 kB
Release files / sctransfer-0.0.8.tar.gz
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| Download URL | sctransfer-0.0.8.tar.gz |
|---|---|
| Size | 13.7 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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twine/4.0.1 CPython/3.8.8
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Release files / sctransfer-0.0.8-py3-none-any.whl
| Download URL | sctransfer-0.0.8-py3-none-any.whl |
|---|---|
| Size | 20.2 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 |
twine/1.10.0 pkginfo/1.2.1 requests/2.18.4 setuptools/41.0.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.8
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Security for sctransfer 0.0.8
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