There are 37 repositories under spatial-transcriptomics topic.
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Tools for computational pathology
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
Integrating histology and spatial transcriptomics - NeurIPS 2024
Spatiotemporal modeling of spatial transcriptomics
SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
Pantheon-CLI, our first release of PantheonOS, the AgentOS that re-imagines Science
Haplotype-aware CNV analysis from single-cell RNA-seq
Bayesian Segmentation of Spatial Transcriptomics Data
Integrating GWAS and spatial transcriptomics for spatially resolved mapping of cells associated with human complex traits.
A Toolbox for Spatial Transcriptomics Analysis
a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell expression profiles
Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab
Associated code to the manuscript "Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling"
Code for the spatialLIBD R/Bioconductor package and shiny app
From geospatial to spatial -omics
ST Pipeline contains the tools and scripts needed to process and analyze the raw files generated with the Spatial Transcriptomics method in FASTQ format.
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
Spatial Transcriptomics human DLPFC pilot study part of the spatialLIBD project
characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
List of Spatial Transcriptomics related Tools organized per category
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).
Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data
spatial transcriptome, single cell
Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices
Pipeline for processing spatially-resolved gene counts with spatial coordinates and image data. Designed for 10x Genomics Visium transcriptomics.
Code used to create the core and extended GBmap, including downstream analyses (cell-cell interactions, spatial transcriptomics deconvolution) and how to produce the figures.