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-3.4.17.tar.gz
(60.9 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-3.4.17.tar.gz.
File metadata
- Download URL: sure_tools-3.4.17.tar.gz
- Upload date:
- Size: 60.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
25f15220b32f11cb3cc8a1cc6070e52ed3b22e6fde1b8838a2182c02e9e72d6b
|
|
| MD5 |
e9c7e0956467250ed6576240ba566495
|
|
| BLAKE2b-256 |
3646b79031a8125f6171bc1e529c098c7ab06096758592e14bd532483e4ff594
|
File details
Details for the file sure_tools-3.4.17-py3-none-any.whl.
File metadata
- Download URL: sure_tools-3.4.17-py3-none-any.whl
- Upload date:
- Size: 69.1 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 |
532b8528c68dda8c993b6502e641987c7f223427a6e47156c630b0f4ee2e9285
|
|
| MD5 |
8e0cc8c0e9fb69853804095d6e130f47
|
|
| BLAKE2b-256 |
c3b53d81b544ab543b0000a95364c4edc560364001f5c398fbdae6692d2e1577
|