Succinct Representation of Single Cells
Project description
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
Project details
Release history Release notifications | RSS feed
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-4.5.5.tar.gz
(62.7 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
File details
Details for the file sure_tools-4.5.5.tar.gz.
File metadata
- Download URL: sure_tools-4.5.5.tar.gz
- Upload date:
- Size: 62.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3756cebfa2b54e2cad418dc8e9b09a9631b7fbd0accde4270381de8ead6167a3
|
|
| MD5 |
b82583450bd73c7a208a36c602933a20
|
|
| BLAKE2b-256 |
5bea9c6997b85f3c29a4a40becc1f43675daadfe891f2a8678b237096f8ded65
|
File details
Details for the file sure_tools-4.5.5-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.5.5-py3-none-any.whl
- Upload date:
- Size: 77.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
748e9471169f2b5a53a3f79babbddb9ca95841fa7e89de1e1e8670605176d1e5
|
|
| MD5 |
0d447c1d4609c86a425c65aa6cde166e
|
|
| BLAKE2b-256 |
8d553ff40bf85fba92d897976ec97b71280e1cfac6b65b57f218a01f58a11a8b
|