The supporting Python package of SAVER-X
This package is designed to be used by the R code of SAVER-X. It contains simplified code from the python 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.
Update: the package requires tensorflow version <=2.2.0 and keras version <=2.3.0.
Update: the package has been updated to work with the newer version of scanpy.
To test whether the installation is successful or not, you can try with the following code. The mtx file for testing can be downloaded here
import sctransfer.api as api
api.autoencode(mtx_file = "shekhar_downsampled.mtx")
1 maintainer
Metadata
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Release files for sctransfer 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sctransfer-0.1.0.tar.gz | 14.9 kB | Without provenance | Details for sctransfer-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sctransfer-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for sctransfer-0.1.0-py3-none-any.whl |
Total release size: 34.9 kB
Release files / sctransfer-0.1.0.tar.gz
| Download URL | sctransfer-0.1.0.tar.gz |
|---|---|
| Size | 14.9 kB |
| Tags | Source |
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SHA-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-0.1.0-py3-none-any.whl
| Download URL | sctransfer-0.1.0-py3-none-any.whl |
|---|---|
| Size | 20.0 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/4.0.1 CPython/3.8.8
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Security for sctransfer 0.1.0
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