R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
-
Updated
Jun 27, 2024 - R
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell and spatially resolved transcriptomics
Haplotype-aware CNV analysis from single-cell RNA-seq
Finding surprising needles (=genes) in haystacks (=single cell transcriptome data).
Code for the spatialLIBD R/Bioconductor package and shiny app
From geospatial to spatial -omics
characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities
Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data
Accurate and fast cell marker gene identification with COSG
Multiview Intercellular SpaTial modeling framework
Beyondcell is a computational methodology for identifying tumour cell subpopulations with distinct drug responses in single-cell RNA-seq and Spatial Transcriptomics data.
Pipeline for SpatialTranscriptomics and 10X Visium data
Associated code to the manuscript "Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling"
Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data
R package for decontaminating the spot swapping effect and recovering true expression in spatial transcriptomics data
scpca-nf is the Nextflow workflow for processing Single-cell Pediatric Cancer Atlas Portal data
meta-analysis of new and published human WAT single cell data
Spatial Experiments raster - a rasterization preprocessing framework for scalable spatial omics data analysis
Reconstruction of spatial context of gene expression with optimal transport
ESICCC: A systematic computational framework for evaluation, selection and integration of cell-cell communication inference methods
Statistical analysis for spatial omics data
Add a description, image, and links to the spatial-transcriptomics topic page so that developers can more easily learn about it.
To associate your repository with the spatial-transcriptomics topic, visit your repo's landing page and select "manage topics."