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-4.10.3.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-4.10.3.tar.gz.
File metadata
- Download URL: sure_tools-4.10.3.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 |
93dab3c2197a1f7d9f302dad2ceb67ff0f63ca693d3dc670b4b1af65c80b5d51
|
|
| MD5 |
acd7b46fa3cda146da4e12ab6ea19eb8
|
|
| BLAKE2b-256 |
74cea22eb14783af9d06a5fc09189dedd37b23a845fbffea81e4b881314fb17a
|
File details
Details for the file sure_tools-4.10.3-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.10.3-py3-none-any.whl
- Upload date:
- Size: 98.5 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 |
5e804c2ddc8d88f0d42fb38b8a25934b49a3eebc5c173ce640efecaf16e80d5d
|
|
| MD5 |
57d81f0219968419d6eb003c680adad6
|
|
| BLAKE2b-256 |
f567b3a61b5a8231441cee559395332d0fabd9fb56a8a2884870bafd16260e3b
|