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-4.8.7.tar.gz
(72.2 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-4.8.7.tar.gz.
File metadata
- Download URL: sure_tools-4.8.7.tar.gz
- Upload date:
- Size: 72.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
00f949864822324b9b1485bedfaea8ef790202fe754f6a5c1e71e38fabb7cf7f
|
|
| MD5 |
1c67e85b7e68417ef3bfca3230f334f0
|
|
| BLAKE2b-256 |
a875f3a2ef87917fd070735fc2b47f25253b0bd8bff18f0dbc990fc3d14c7873
|
File details
Details for the file sure_tools-4.8.7-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.8.7-py3-none-any.whl
- Upload date:
- Size: 78.0 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 |
78656fbefbe76c2fa912c023aa4f6d80c6af7808b22a735bea6a4e4b7fa6e5f7
|
|
| MD5 |
ce5890239842812d33f026c157f759dd
|
|
| BLAKE2b-256 |
233d3f905b1ed366a76b35336a24c03d7771d119439995d3ae80961410707882
|