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MayraRuizT authored Feb 5, 2025
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# Nichesphere

Nichesphere is an sc-verse compatible Python library which allows the user to find differentially co-localized cellular niches based on cell type pairs co-localization probabilities in
different conditions. Cell type pair co-localization probabilities are obtained from deconvoluted spatial transcriptomics / PIC-seq data (probabilities of finding each cell type in each spot
/ multiplet) as the probabilities to find each cell type pair in the same spot/multiplet.
Nichesphere is an sc-verse compatible Python library which allows the user to find differential co-localization domains / niches based on cell type pair co-localization probabilities in different conditions. Cell type pair co-localization probabilities can be obtained in different ways, for example, through deconvolution of spatial transcriptomics / PIC-seq data (getting the probabilities of finding each cell type in each spot / multiplet) ; or counting cell boundaries overlaps for each cell type pair in single cell spatial data (MERFISH , CODEX …).

It also offers the possibility to look at biological process based differential communication among cellular niches based on Ligand-Receptor pairs expression data, such as results from CrossTalkeR [ref.].
It also offers the possibility to look at biological process based differential communication among differential co-localization domains based on Ligand-Receptor pairs expression data, such as results from CrossTalkeR [ref.].

You can find our documentation and an application example on the Myocardial Infarction atlas data from Kuppe et. al. 2022 here: https://nichesphere.readthedocs.io/en/latest/

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