Bayesian Segmentation of Spatial Transcriptomics Data
-
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
R-based Xenium Spatial Analysis Toolkit to assess gene expression gradients
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"
A Julia package for single cell and spatial data analysis
Analysis workflow for 10x Genomics Xenium spatial transcriptomics data. Includes scripts to unpack raw Xenium outputs, convert them into AnnData objects, and perform downstream analyses.
End-to-end pipeline for spinal-cord microscopy segmentation with Cellpose, tiling, and mask stitching.
Spatial transcriptomics analysis for Bangs et al., 2025
Xenium liver cancer data analysis
Add a description, image, and links to the xenium topic page so that developers can more easily learn about it.
To associate your repository with the xenium topic, visit your repo's landing page and select "manage topics."