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-4.1.1.tar.gz
(71.3 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-4.1.1.tar.gz.
File metadata
- Download URL: sure_tools-4.1.1.tar.gz
- Upload date:
- Size: 71.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f28fe4399d22632fcbd3937978c26dac3af01828571ba43aaf063fe6227d6ba8
|
|
| MD5 |
95c38848620d2d6ae93e278fd565d1a1
|
|
| BLAKE2b-256 |
27740fe2022ed8af6439b3b58b6021ad3ed6b04e3b313b048a0e8c4a3a37dd86
|
File details
Details for the file sure_tools-4.1.1-py3-none-any.whl.
File metadata
- Download URL: sure_tools-4.1.1-py3-none-any.whl
- Upload date:
- Size: 77.2 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 |
2b5d1e6e9b39e867ed60d78d825cff73c28c9ac87f4beae752a4e0c86078c76a
|
|
| MD5 |
21b02568a9aed9682548801b96786854
|
|
| BLAKE2b-256 |
8ccc4e6493125f468d8349fd82b6540251a6887b55613901685292f22d4d8ddf
|