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-4.18.17.tar.gz
(101.6 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-4.18.17-py3-none-any.whl
(109.0 kB
view details)
File details
Details for the file sure_tools-4.18.17.tar.gz.
File metadata
- Download URL: sure_tools-4.18.17.tar.gz
- Upload date:
- Size: 101.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
50dc6068a0b3bf07d94dc205f478168d8a445ef9fcab9fcc261e804aa15d56ef
|
|
| MD5 |
1feb187a11c6c95fcd7afafbbbfa3f3a
|
|
| BLAKE2b-256 |
ac9cef2915e3c897c26d8006494df65c338337fdab3824a165a91b251d860ef4
|
File details
Details for the file sure_tools-4.18.17-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.18.17-py3-none-any.whl
- Upload date:
- Size: 109.0 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 |
baf513cc7606e599c764b5ed818fb34467152749fe7b6d060bd3b9b5b79055fd
|
|
| MD5 |
c812405d1ca0dae2a696deb4e13cbdd2
|
|
| BLAKE2b-256 |
8e33e54e5cfce9f2b84d4490815d5e9fc07c395e63cd9c85930a7276e4fe7111
|