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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sure_tools-4.17.1.tar.gz
(92.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
sure_tools-4.17.1-py3-none-any.whl
(109.8 kB
view details)
File details
Details for the file sure_tools-4.17.1.tar.gz.
File metadata
- Download URL: sure_tools-4.17.1.tar.gz
- Upload date:
- Size: 92.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e5afa30654a965bc9268d1f99644e396e08eaeee1a335064af10a38db0b278e1
|
|
| MD5 |
795e11dd896bed5c9dc89d688d2fe759
|
|
| BLAKE2b-256 |
70a52b5870d9881266cb2ee6eb797a969121a541088587e013cb75bcbb95bb49
|
File details
Details for the file sure_tools-4.17.1-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.17.1-py3-none-any.whl
- Upload date:
- Size: 109.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
23f804ec2770cac0b2acd16693629001ebed9f2a76d443fc9d9a4fdeaf084ae4
|
|
| MD5 |
557823208c9d851f270c166778096d9c
|
|
| BLAKE2b-256 |
0dfce1e853ebd7c1e962064007fb4a2a6b395948cb77fc4a57804a935e7e2eae
|