Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
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Updated
Feb 4, 2025 - Python
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
Interactive visualization of spatial omics data
a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).
End-to-end analysis of spatial multi-omics data
Spatial analysis toolkit for single cell multiplexed tissue data
conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
Interoperability between SpatialData and the Xenium Explorer
DECIPHER for learning high-fidelity disentangled embeddings from spatial omics data
Patho-DBiT is a platform to spatially decode RNA Biology in archival FFPE tissues.
OMERO.web plugin for the Vitessce multimodal data viewer.
Perform RESTORE normalization on multiplexed imaging data.
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