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-4.5.1.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-4.5.1.tar.gz.
File metadata
- Download URL: sure_tools-4.5.1.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 |
a50e6d847258909675198c7667dc3b6897ec53e0dd9b1a784156ca2c1b2d1e43
|
|
| MD5 |
aef97a3bafa97e578c6814b5efb71687
|
|
| BLAKE2b-256 |
3df867521c50601e5dd6774462ec50c6952914e404965ca04c8dffadee0e46a1
|
File details
Details for the file sure_tools-4.5.1-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.5.1-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 |
6eb47c3731ea700047c766ab6c3e44657280e921d1f28ecb0f8152f1c39cbeca
|
|
| MD5 |
eb2ad3d216e468caf974042c8804de71
|
|
| BLAKE2b-256 |
05e849e01b056e1c78fdd4668b061f17650b93784e3f013b6e1a10217f75e1c2
|