mims-harvard/CONCERT
CONCERT predicts niche-aware perturbation responses in spatial transcriptomics
This tool helps researchers in genomics understand how experimental interventions, like gene knockouts, affect gene expression in tissues, considering the spatial context of cells. It takes spatial transcriptomics data and details about a perturbation as input, then outputs predictions of gene expression changes across the tissue, even allowing for hypothetical scenarios. This is ideal for scientists studying cellular mechanisms in native tissue contexts, especially those working with spatial perturbation transcriptomics data.
Use this if you need to predict gene expression responses to perturbations while accounting for the spatial relationships and tissue environment of cells.
Not ideal if you are looking for a tool that focuses solely on individual cell responses without considering their spatial context or if you don't work with spatial transcriptomics data.
Stars
14
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 13, 2025
Commits (30d)
0
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