scPrisma is a spectral analysis method, for pseudotime reconstruction, informative genes inference, filtering, and enhancement of underlying topological signals. 
For documentation please refer to scPrisma documentation.
For tutorials, please refer to:Tutorials
For reproducibility of scPrisma manuscript, please refer to:
https://github.com/nitzanlab/scPrisma_notebooks
git clone https://github.com/nitzanlab/scPrisma.git cd scPrisma pip install . For running the gpu version install it like so pip install ."[gpu]"I recommend creating two separate virtual environments for running the cpu/gpu test suite. On my laptop, I use conda but this can be replaced any other virtual environment manager of your choice.
conda create -n scprisma_cpu python=3.10 conda activate scprisma_cpu pip install . pytest tests/cpu conda create -n scprisma_gpu python=3.10 conda activate scprisma_gpu pip install .[gpu] pytest tests/gpu @article{karin2023scprisma, title={sc{P}risma infers, filters and enhances topological signals in single-cell data using spectral template matching}, author={Karin, Jonathan and Bornfeld, Yonathan and Nitzan, Mor}, journal={Nature Biotechnology}, pages={1--10}, year={2023}, publisher={Nature Publishing Group US New York} } Jonathan Karin - jonathan.karin [at ] mail.huji.ac.il
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