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-3.4.29.tar.gz
(51.0 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-3.4.29.tar.gz.
File metadata
- Download URL: sure_tools-3.4.29.tar.gz
- Upload date:
- Size: 51.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9da635b70823f0ecb08affd2bcb09c0e9c4c6a513b6cd339911210ed5f452b01
|
|
| MD5 |
767df588ec23a505ea4ba1291d765940
|
|
| BLAKE2b-256 |
06d60a79b1a57a04122b38510b0d4fd9f88e0b7825dab54451679ff993f25dc7
|
File details
Details for the file sure_tools-3.4.29-py3-none-any.whl.
File metadata
- Download URL: sure_tools-3.4.29-py3-none-any.whl
- Upload date:
- Size: 72.7 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 |
16cbb214022d6bf89ec56afa0c91f9891fcdb709a096eab68b54b0b3a0a40750
|
|
| MD5 |
c923c8a482f01d7942b98d21fd1899ca
|
|
| BLAKE2b-256 |
41d922519801b82de8866785f99b95cb86ca0f0070c91e8be130063b914a02c4
|