Skip to content
This repository has been archived by the owner on Oct 12, 2024. It is now read-only.

HiDiHlabs/ssam

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

87 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Notice

This repository is no longer maintained. Further development of SSAM will be continued in the https://github.com/pnucolab/ssam repository.

SSAM (Spot-based Spatial cell-type Analysis by Multidimensional mRNA density estimation)

Author: Jeongbin Park ([email protected])1,2 and Wonyl Choi ([email protected])3

1Digital Health Center, Berlin Institute of Health (BIH) and Charité – Universitätsmedizin, Berlin, Germany; 2Faculty of Biosciences, Heidelberg University, Heidelberg, Germany; 3Department of Computer Science, Boston University, Boston, the United States of America

(Not referring this 😆: https://en.wikipedia.org/wiki/Ssam)

This project was done under supervision of Dr. Naveed Ishaque ([email protected]) and Prof. Roland Eils ([email protected]), and in collaboration with the SpaceTx consortium and the Human Cell Atlas project.

Please also check our example Jupyter notebooks here: https://github.com/eilslabs/ssam_example

Prerequisites

Currently SSAM was only tested with Python 3 in Linux environment. In addition to this package, SSAM requires a local R installation with pre-installed packages feather and sctransform. For details, please follow the instructions here: https://ssam.readthedocs.io/en/release/userguide/01-tldr.html#installation

Install

https://ssam.readthedocs.io/en/release/userguide/01-tldr.html#installation

Documentation

https://ssam.readthedocs.io/

Citations

Jeongbin Park, Wonyl Choi, Sebastian Tiesmeyer, Brian Long, Lars E. Borm, Emma Garren, Thuc Nghi Nguyen, Bosiljka Tasic, Simone Codeluppi, Tobias Graf, Matthias Schlesner, Oliver Stegle, Roland Eils & Naveed Ishaque. "Cell segmentation-free inference of cell types from in situ transcriptomics data." Nature Communications 12, 3545 (2021).

License

Copyright (C) 2018 Jeongbin Park and Wonyl Choi

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see https://www.gnu.org/licenses/.