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-4.14.27.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
File details
Details for the file sure_tools-4.14.27.tar.gz.
File metadata
- Download URL: sure_tools-4.14.27.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 |
c72a5500ee2ba77ffdcfefc62e2d4b71ab12c09b147d93d6212c2803ee1da257
|
|
| MD5 |
a78b451b46fe21792463b6a61d05eabe
|
|
| BLAKE2b-256 |
6217d2b425b70835b41a5c13541ecc19192e3b5f2f039299e85da138022ab3b2
|
File details
Details for the file sure_tools-4.14.27-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.14.27-py3-none-any.whl
- Upload date:
- Size: 99.0 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 |
170b0cfd56e5c75e06b6b2a18ee9d04ce42cf89f08904b41a0bcbf3d78f509cd
|
|
| MD5 |
612030454363dc91cc04da4bf25b17ec
|
|
| BLAKE2b-256 |
acc34fa1041475ec0522520c9c8d8cb4bcec0c47c2e9a8f0fbfc94cc17e4aa0e
|