SURE: SUccinct REpresentation of cells
SURE implements a discrete latent state model with normalizing flow encoder for exact estimation of cellular populations.
Installation
- Create a virtual environment
conda create -n SURE python=3.10 scipy numpy pandas scikit-learn && conda activate SURE
- Install PyTorch following the official instruction.
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
- Install SURE
pip3 install SURE-tools
Metadata
Release files for SURE-tools 4.18.27
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sure_tools-4.18.27.tar.gz | 111.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sure_tools-4.18.27-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 240.3 kB
Release files / sure_tools-4.18.27.tar.gz
| Download URL | sure_tools-4.18.27.tar.gz |
|---|---|
| Size | 111.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9f1807776ad86805ba9226543b7a35a3be70eb870320de62eea010e16680cb68
|
|
BLAKE2b-256 checksum How to use checksums |
e472af202dca0c67d9c1909f9991f9f94523d09248d37bcdaf883c1bb426fb4d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|
Release files / sure_tools-4.18.27-py3-none-any.whl
| Download URL | sure_tools-4.18.27-py3-none-any.whl |
|---|---|
| Size | 129.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e0342c48fb3e0aa63b473d213d1c59b41148ae2821868d4843c1660995afe35b
|
|
BLAKE2b-256 checksum How to use checksums |
6dd329aea7eef8ebcd1a35e8cc38f409e2ee5abdb3867db2e2378de5871e923c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.18
|