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
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-4.17.5.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
sure_tools-4.17.5-py3-none-any.whl
(109.2 kB
view details)
File details
Details for the file sure_tools-4.17.5.tar.gz.
File metadata
- Download URL: sure_tools-4.17.5.tar.gz
- Upload date:
- Size: 91.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
678955003759e44edcd86496cc3552730b30fd06bbbff1562be806728153f8ff
|
|
| MD5 |
4abc0a9ede7f20596578be5f28a62fc7
|
|
| BLAKE2b-256 |
3f910099688e41ec7811c1290dfdd3ec5a43edcae9621bb0c0e26e1c50bcd13e
|
File details
Details for the file sure_tools-4.17.5-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.17.5-py3-none-any.whl
- Upload date:
- Size: 109.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dd11d37cbba64b460fa9679f4981dd021b89d0fed008d474c042e8b527e21f2f
|
|
| MD5 |
f5b2d4de57e32daeaacf58bb88df2883
|
|
| BLAKE2b-256 |
a4f3f3e1f8af52d01179beeb06debb0c112889ae384a1a7a18f56ac429839ae0
|