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-4.9.6.tar.gz
(91.6 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-4.9.6.tar.gz.
File metadata
- Download URL: sure_tools-4.9.6.tar.gz
- Upload date:
- Size: 91.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f6ea73ec38e103de1d173c7cdfff706655da1b7ee3adcbb8c206c28b8e2d94c8
|
|
| MD5 |
9c533707d9ef1f2085998f3b271fd382
|
|
| BLAKE2b-256 |
6a93854ea7a338dc1f440051789413a2c5ee1e902488d4ba671f2f9980092394
|
File details
Details for the file sure_tools-4.9.6-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.9.6-py3-none-any.whl
- Upload date:
- Size: 98.4 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 |
2b60264ff8579058ba11732d65378304c98ebec49ad05374ed89e99c7ed80386
|
|
| MD5 |
1500d8ec9ba2f14cc1f89151da6396cb
|
|
| BLAKE2b-256 |
afc5a8d099a056d5cee9bd5fa13120cc9918742bd56082bc44f0d8585340cde5
|