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-3.6.1.tar.gz
(59.0 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-3.6.1.tar.gz.
File metadata
- Download URL: sure_tools-3.6.1.tar.gz
- Upload date:
- Size: 59.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8b4492ad049ef8ee7484717d573b16a62bf3ce1224632019063ffe67a2a57111
|
|
| MD5 |
bccdfb2f980cb5c4dbcaff7f4b3265a9
|
|
| BLAKE2b-256 |
9aa2eed1bf1bc3013c91e6c3eafa61121b9614691083a00704b3f875229f9271
|
File details
Details for the file sure_tools-3.6.1-py3-none-any.whl.
File metadata
- Download URL: sure_tools-3.6.1-py3-none-any.whl
- Upload date:
- Size: 65.2 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 |
389a91818759c17e3668019d75bdd6ee3a6d94ccd9e9e9f6db09efa95f57865b
|
|
| MD5 |
867eb1605937b35e0275e5f577f15de8
|
|
| BLAKE2b-256 |
c702b3f39c66e5cf3e9089eff84f1fa823a5a8d3cfa162587a9366018b1c4663
|