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-4.5.6.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-4.5.6.tar.gz.
File metadata
- Download URL: sure_tools-4.5.6.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 |
23c1da8677024d78f0dcf84533b8a54b9c0c4b4f31452b705398e8ea7ea20296
|
|
| MD5 |
350050b055f86b351b1bcd95e5a45136
|
|
| BLAKE2b-256 |
c5d0481c2381bc6157befcba85e8b4c04ca17d392ef378349123a5c6f27823da
|
File details
Details for the file sure_tools-4.5.6-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.5.6-py3-none-any.whl
- Upload date:
- Size: 68.2 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 |
dd5a80dd0620db276a50914955e5dc377a26ac1dc36452c800049cfd2045e1aa
|
|
| MD5 |
8649d1ed7b4345c5c8d342f640727789
|
|
| BLAKE2b-256 |
21173f466266b72c84ffb5c6e10852ef34fd9629015c9d092898ab27c9ebeb5f
|