Bayesian Segmentation of Spatial Transcriptomics Data
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Updated
Dec 10, 2024 - Julia
Bayesian Segmentation of Spatial Transcriptomics 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).
A Julia package for single cell and spatial data analysis
Code companion to the publication "High resolution mapping of the breast cancer tumor microenvironment using integrated single cell, spatial and in situ analysis of FFPE tissue"
R-based Xenium Spatial Analysis Toolkit to assess gene expression gradients
A Julia package for single cell and spatial data analysis
Tool for quick and standardized annotation of single cell transcriptomics data
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