Skip to main content

SPatial transcriptomics Analysis via Cell Embedding

Project description

Stars PyPI

Spatial transcriptomics data analysis via interaction-aware cell embedding reveals cell communities with characteristic cell-cell interactions

SPACE (SPatial transcriptomics Analysis via Cell Embedding)

Installation

install from PyPI

pip install space-srt

install from GitHub

install the latest develop version

git clone https://github.com/zhangqf-lab/SPACE.git
cd SPACE
python setup.py install

SPACE is implemented in Pytorch framework.
SPACE can be run on CPU devices, and running SPACE on GPU devices if available is recommended.

Tutorial

A brief tutorial can be found here.(Still in progress)

Citation

If you use SPACE in your research, please cite our paper:

Li, Y., Zhang J., Gao, X., and Zhang, Q.C. Tissue module discovery in single-cell resolution spatial transcriptomics data via cell- cell interaction-aware cell embedding. Cell Systems 2024 (Accepted)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

space_srt-0.7.0.tar.gz (11.2 kB view hashes)

Uploaded Source

Built Distribution

space_srt-0.7.0-py3-none-any.whl (12.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page