Tool

Awesome Single Cell

Imaging / Computer Vision Radiology / Pathology MIT De-identified
3856 GitHub Stars
12 Open Issues
N/A Docker Support
2026-09-07 Last Updated

Technical Summary

Awesome Single Cell is an open-source tool in the Imaging / Computer Vision domain.

Overview & Key Features

  • Description: Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
  • Primary Domain: Radiology / Pathology (Imaging / Computer Vision).
  • Open-Source Repository: Verified source on GitHub with 3,828 stars and 1,089 forks.

Integration & Usage

Install and explore this repository directly from source:

git clone https://github.com/seandavi/awesome-single-cell.git

💻 Quick Developer Integration

Embed or cite this asset in your research pipeline or GitHub README:

View on GitHub → Source Verified by OpenPHR Catalog
Student Fellowship Opportunity

🎓 Build World-Class Medical AI & Publish IEEE Research

Are you an ambitious student developer or researcher? Join the OpenPHR Digital Health & AI Fellowship led by Penn & MIT alumni to engineer publication-ready clinical AI portfolios.

Apply for Fellowship →

Similar Assets (Imaging / Computer Vision)

Tool

Awesome Transformers In Medical Imaging

Awesome Transformers In Medical Imaging is an open-source tool in the Imaging / Computer Vision...

⭐ 1297
Tool

Clinicalxlnet

Clinicalxlnet is an open-source tool in the Imaging / Computer Vision domain. ### Overview &...

⭐ 53
Tool

Dltk

Dltk is an open-source tool in the Imaging / Computer Vision domain. ### Overview &...

⭐ 1457