Skip to main content

Spatial transcriptomic analysis in python.

Project description

stars pypi downloads docs DOI

Stereopy: Spatial Transcriptomics Analysis in Python

Installation - Quick start - Documentation - API

Stereopy is a fundamental and comprehensive tool for mining and visualization based on spatial transcriptomics data, such as Stereo-seq (spatial enhanced resolution omics sequencing) data. More analysis will be added here, either from other popular tools or developed by ourselves, to meet diverse requirements. Meanwhile, we are still working on the improvement of performance and calculation efficiency.

Discussion

Please use GitHub issues tracker for reports and discussions of:

  • Bug reports
  • Document and data issues
  • Feature requirements
  • ...

Contribution

Stereopy is in a stage of rapid development so that we will carefully consider all aspects of your proposal. We hope future input will be given by both users and developers.

Details to contributing.

Citing Stereopy

@Article{Fang2025,
author={Fang, Shuangsang and Xu, Mengyang and Cao, Lei and Liu, Xiaobin and Bezulj, Marija and Tan, Liwei and Yuan, Zhiyuan and Li, Yao and Xia, Tianyi and Guo, Longyu and Kovacevic, Vladimir and Hui, Junhou and Guo, Lidong and Liu, Chao and Cheng, Mengnan and Lin, Li'ang and Wen, Zhenbin and Josic, Bojana and Milicevic, Nikola and Qiu, Ping and Lu, Qin and Li, Yumei and Wang, Leying and Hu, Luni and Zhang, Chao and Kang, Qiang and Chen, Fengzhen and Deng, Ziqing and Li, Junhua and Li, Mei and Li, Shengkang and Zhao, Yi and Fan, Guangyi and Zhang, Yong and Chen, Ao and Li, Yuxiang and Xu, Xun},
title={Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics},
journal={Nature Communications},
year={2025},
month={Apr},
day={21},
volume={16},
number={1},
pages={3741}
}

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

stereopy-1.6.1.tar.gz (6.9 MB view details)

Uploaded Source

File details

Details for the file stereopy-1.6.1.tar.gz.

File metadata

  • Download URL: stereopy-1.6.1.tar.gz
  • Upload date:
  • Size: 6.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for stereopy-1.6.1.tar.gz
Algorithm Hash digest
SHA256 67d55d9125a611bf875d51208d042ce36e642b608439a1f415603befb773bdee
MD5 af875d40575f502a57010df3ad38c5d2
BLAKE2b-256 4620442fa70573cc580dbc44dc948b314f9eb82824b36fe1c43014f8657dca4e

See more details on using hashes here.

Supported by

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