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-4.0.1.tar.gz
(60.6 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
File details
Details for the file sure_tools-4.0.1.tar.gz.
File metadata
- Download URL: sure_tools-4.0.1.tar.gz
- Upload date:
- Size: 60.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a68f3e476ebef4b1e5cd3e2104f85c248c157847966935299ff7209a77e4399c
|
|
| MD5 |
bef3ffeb0415254df0b4967f3f2ee411
|
|
| BLAKE2b-256 |
d3be368d4dcbff59a6b77b4b68ffbb937ba0a1e623f8632058b7c4ee3d9a704d
|
File details
Details for the file sure_tools-4.0.1-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.0.1-py3-none-any.whl
- Upload date:
- Size: 66.2 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 |
4eb5754c248acca30fef08599fea4ae7f72c29b8ef9f98d2880a09e081ad69b9
|
|
| MD5 |
fb8562aa03df4dff729b5662bfea1d27
|
|
| BLAKE2b-256 |
559cc16b2b4fa36e7f7f8d8da5371b1952ecbad177e48aac48ab0341d5fb388d
|