spatiomicΒΆ
spatiomic is a computational library for the analysis of spatial proteomics, mainly via pixel-based clustering, differential cluster abundance analysis and spatial statistics.
The main goal of this package is to organize different packages and methods that are commonly used when dealing with high-dimensional imaging data behind a single API that allows for scalable high-performance computing applications, whenever possible on the GPU.
Exemplary pixel-based clustering output:
Our group focuses on the development of novel imaging and computational workflows for spatial omics. Check out our Google Scholar page for more information.
Our code is published on GitHub, feel free to check it out.
Citation
spatiomic was developed at Aarhus University and the Institute of Medical Systems Biology, Hamburg by Malte Kuehl. If you use this package in an academic setting, please cite our work according to the information in the CITATION.cff file in our GitHub repository.