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-4.18.6.tar.gz
(91.7 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-4.18.6-py3-none-any.whl
(109.3 kB
view details)
File details
Details for the file sure_tools-4.18.6.tar.gz.
File metadata
- Download URL: sure_tools-4.18.6.tar.gz
- Upload date:
- Size: 91.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b0d0d72bcd8e69d4fb163f4fd502c44fe0ff84141db5f64ecdb9f37778b57579
|
|
| MD5 |
09b8f96d038268bc6055061e6649b62f
|
|
| BLAKE2b-256 |
05d46877d55c3cc2b2611085d9ae65b6c434a17e3f2df4827a3ddf8d83ed9155
|
File details
Details for the file sure_tools-4.18.6-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.18.6-py3-none-any.whl
- Upload date:
- Size: 109.3 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 |
02e8544321a873433055affafa90f685e90be55876d7b93cd99c519676bf03c3
|
|
| MD5 |
028715bf7f4794812aa12aa9a309195a
|
|
| BLAKE2b-256 |
cc9476ada39789805c31d57a5aa84646751ce23e5939ea23446e27cbf73ac18e
|