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-4.8.10.tar.gz
(72.3 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-4.8.10.tar.gz.
File metadata
- Download URL: sure_tools-4.8.10.tar.gz
- Upload date:
- Size: 72.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2cb3751c1c443290f4cdbf43bd79e349ebccc5ec7c28eea32438f6f61ebf52da
|
|
| MD5 |
78a2c0d8f6584f9ce8001dfa650181ce
|
|
| BLAKE2b-256 |
9301fa6c3558dd9ea2faee3e89260cec9f1a58a1cfa3c11caaffc50605dec646
|
File details
Details for the file sure_tools-4.8.10-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.8.10-py3-none-any.whl
- Upload date:
- Size: 78.1 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 |
bbf38ed25b852361375bfc547da881022d7e43d13e60b63d0fbda4d50253cdce
|
|
| MD5 |
cce60013246e5fdbc1f8f6d7c653a1de
|
|
| BLAKE2b-256 |
09ae7a2de521acd07226bab42f9fe5fe53c2dcd451cbcbdcdf688fcb4daedbc4
|