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-4.18.9.tar.gz
(91.8 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-4.18.9-py3-none-any.whl
(109.4 kB
view details)
File details
Details for the file sure_tools-4.18.9.tar.gz.
File metadata
- Download URL: sure_tools-4.18.9.tar.gz
- Upload date:
- Size: 91.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
379cc8adf5b1c16971342da24910b85084d65b2d1f59b7fdbc88bada35b6d5c2
|
|
| MD5 |
9729bec75c80407861649f928e7bf73d
|
|
| BLAKE2b-256 |
ab413dfa26fc2be3345492e4169bfabe435cd01440990d0a8bd36e6a0523c0d3
|
File details
Details for the file sure_tools-4.18.9-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.18.9-py3-none-any.whl
- Upload date:
- Size: 109.4 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 |
2e14c387ed02f5eeb356a0eae9fd3a758808bddae7b861080b76070ec309f33d
|
|
| MD5 |
e22cd33559b4ff51f76233ee58c4bb6c
|
|
| BLAKE2b-256 |
a69c65556d2087339b8a6d6b87397245455889e27ccd4f1e1f324b862e9c6a1f
|