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-3.4.1.tar.gz
(60.9 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-3.4.1.tar.gz.
File metadata
- Download URL: sure_tools-3.4.1.tar.gz
- Upload date:
- Size: 60.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
562f3d0cd9a6a46dad900483074e9d9404c7199a268b8251816a2ce9e19b980b
|
|
| MD5 |
091c36e2b644bd1a02560ed13d0de7d8
|
|
| BLAKE2b-256 |
022e08c8a3f5bbf3f227e3f9febd84809e4ded58f51b55cb99ea3ec34f013890
|
File details
Details for the file sure_tools-3.4.1-py3-none-any.whl.
File metadata
- Download URL: sure_tools-3.4.1-py3-none-any.whl
- Upload date:
- Size: 69.1 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 |
dd46dc01031f0e64e1d3a99daf9b6bca11eb26dc1bd929295accbefdeacacde0
|
|
| MD5 |
28b0c5e970d57faaa6ef14a6910be9da
|
|
| BLAKE2b-256 |
a04e1838545825e245bcc103c5f109528b29fec9ddad8280decd78e20d4a995d
|