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-4.8.0.tar.gz
(62.9 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-4.8.0.tar.gz.
File metadata
- Download URL: sure_tools-4.8.0.tar.gz
- Upload date:
- Size: 62.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c381e18b2f863fcec9549ff2c69c0478797aa85c7512a7372d02de9eadadfb17
|
|
| MD5 |
9398f9209512d5e9778e6485199dc009
|
|
| BLAKE2b-256 |
cdcfee36f2be0e9af84597e46ddb4abd76b848257d9acf6823d2cd71bb1b8b13
|
File details
Details for the file sure_tools-4.8.0-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.8.0-py3-none-any.whl
- Upload date:
- Size: 68.3 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 |
219eac0f5dd839d9fb586fa48ba94b39a263892173a7f50215cd6af143c77975
|
|
| MD5 |
d705099adc066e69ec8f590a4f763811
|
|
| BLAKE2b-256 |
02106830b9429da4a02cf0a38277abee4a4fe027f13b082fe81839cbf502f646
|